Abstract: A method of detecting objects located in an environment around a vehicle, comprises the steps of obtaining a 2D image of a scene from an image capture device fitted to the vehicle, generating a set of particles that each comprise a set of parameters that define the state of at least one object that may be present in the scene, calculating an edge strength and edge direction for each pixel of the captured 2D image; and for each particle in the set: generating a 3D probabilistic model of the object that is associated with the particle, the model defining a set of edges of the object, each edge in the model defined by at least one likelihood function defining a probabilistic distribution of at least one characteristic of the edge, mapping the likelihood functions of the probabilistic model into the 2D plane of the captured image as a function of the parameters of the particle; and processing the edge strength and edge direction values with the probability values to determine the likelihood that the particle defi

Abstract: An electronic device obtains a collection of images, where each image in the collection of images is associated with a first set of scores. The set of first scores includes text descriptors associated with each image. The electronic devices obtains a media item associated with a second score. The second score is associated with each respective text descriptor of the set of text descriptors. The electronic device then selects a subset of the collection of images based on the first set of scores and the second set of scores. The electronic device concurrently presents a respective image of the subset of the collection of images and the media item.

Abstract: Systems, apparatuses, and methods related to image based media type selection are described. Memory systems can include multiple types of memory media. Data can be written in a type of memory media based on one or more settings applied to the data. A setting can be determined based on input received by a logic within the memory system. In an example, a method can include receiving, at logic within a memory system that comprising a plurality of memory media types, data from an image sensor coupled to the logic of the memory system, receiving input from a host, identifying one or more attributes of the data, analyzing the received input to determine an setting, generating the setting based on the analyzed input, and writing the data to a first memory media type of the plurality of memory media types based on the generated setting.

Abstract: A system, method and computer program product for accessing content. The method comprises processing at least one image with a classifier, and, in response to the at least one image being processed by the classifier, outputting from the classifier a value indicative of the likelihood that the at least one image belongs to at least one classification. The method also comprises determining whether the at least one image belongs to the at least one classification, based on the value, and accessing predetermined content when it is determined that the at least one image belongs to the at least one classification. Images may be classified by, e.g., genre, musical album, concept, or the like, and, in cases where an image belongs to any such classes, predetermined content (e.g., metadata and/or an audio track) relating thereto is identified and presented to the user.

Abstract: Provided is an example method for automated augmentation of text, web and physical environments using multimedia content. The method may comprise determining that a user device displays a portion of the text document in a predetermined format, analyzing the portion of the text document to generate one or more keywords, generating, based on the one or more keywords, at least one search query for a multimedia content search via a search engine, retrieving, from one or more data storages, one or more pieces of multimedia associated with the one or more keywords, and enabling the user device to display the one or more pieces of multimedia concurrently with the portion of the text document, wherein the one or more pieces of multimedia are displayed on the user device according to predetermined user settings.

Abstract: A method of data compression in which the total size of the compressed data is determined and based on that determination, the bit depth of the input data may be reduced before the data is compressed. The bit depth that is used may be determined by comparing the calculated total size to one or more pre-defined threshold values to generate a mapping parameter. The mapping parameter is then input to a remapping element that is arranged to perform the conversion of the input data and then output the converted data to a data compression element. The value of the mapping parameter may be encoded into the compressed data so that it can be extracted and used when subsequently decompressing the data.

Abstract: An example method is described herein. The method includes executing dense feature matching on an image pair that is down sampled to obtain a first set of feature correspondences for each pixel of the down sampled image pair. The method also includes calculating a neighborhood correspondence based on the first set of feature correspondences for each pixel in a first image of the image pair. Further, the method includes executing sparse feature matching on stereoscopic patch pairs from the image pair based on the neighborhood correspondence for each pixel to obtain correspondence estimates for each stereoscopic patch pair. Finally, the method includes refining the correspondence estimates for each stereoscopic patch pair to obtain a semi-dense set of feature correspondences by applying a geometric constraint to the correspondence estimates and retaining correspondences that satisfy the geometric constraint.

Abstract: A method may include obtaining a base facial image, and obtaining a first set of base facial features within the base facial image, the first set of base facial features associated with a first facial AU to be detected in an analysis facial image. The method may also include obtaining a second set of base facial features within the base facial image, the second set of facial features associated with a second facial AU to be detected. The method may include obtaining the analysis facial image, and applying a first image normalization to the analysis facial image using the first set of base facial features to facilitate prediction of a probability of the first facial AU. The method may include applying a second image normalization to the analysis facial image using the second set of base facial features to facilitate prediction of a probability of the second facial AU.

Abstract: Systems and methods for the automated aerial application of chemicals onto agricultural areas. Unmanned aerial vehicles (UAVs) are configured to selectively attach to modular sprayer payloads, each payload having a payload reservoir, a spray nozzle, a pump, and a battery. A ground station having landing pads for the UAVs is configured to coordinate and automatically fill at least one payload reservoir from a material tank and provide the payload to a given UAV. A control subsystem can determine a mission plan and command the UAV to selectively deliver the contents of the payload reservoir to at least a portion of one or more agricultural areas.

Abstract: Systems and methods are described for determining clusters for large collections of content items. A fast cluster-identifying algorithm can be used to find high density areas where certain less interesting content items might be clustered in a feature space. An example algorithm is a mean shift algorithm. Once these high-density clusters are located, a system can remove them and proceed to analyze the remaining data. Removing these clusters of featureless content items can greatly reduce the collection size and also enhance the overall quality of the collection. Labels can then be applied to clusters and, when a content item is received, classification algorithms can be used to assign an appropriate label to the content item.

Abstract: A hand-held robot operating device combination has: an autonomous safety-related basic control device that includes a housing, a safety-relevant switching means on the housing, and a communication device for connecting the autonomous safety-related basic control device for control purposes to a controller of a robot; an autonomous mobile terminal that includes a terminal controller and at least one terminal position sensor designed to sense positional data in respect of the autonomous mobile terminal in at least one of the degrees of freedom thereof; and a holder designed to mechanically connect the autonomous safety-related basic control device to the autonomous mobile terminal in a manually detachable combined arrangement so as to form the hand-held robot operating device combination; the autonomous safety-related basic control device includes at least one basic-control position sensor which is designed to sense positional data in respect of the autonomous safety-related basic control device in at least one

Abstract: The present disclosure provides a technical solution related to processing images in image transformation by fusion. More particularly, an image of an object of an original picture may be transferred onto an image of a corresponding object in a template picture by fusion. During the transformation by fusion, the processing of fusion may be done on each pixel by using a pixel weight graph, so that the image of the object in the original picture may be better integrated into the template picture with the features of the object in the original picture maintained well in the picture processed by fusion.

Abstract: Embodiments of the present invention provide a system for transmitting data to networked resources based on extracted contextual information from said networked resources. The system gathers contextual data from devices on the network, extracts contextual information from the contextual data, and determines supplemental resources to provide to the networked devices based on the contextual information. The system may further provide an augmented reality environment to a networked device that integrates identifies objects in an image and integrates notifications of supplemental resources in the augmented reality environment.

Abstract: A network node (200), a wireless device (202) and methods therein, for communicating or obtaining system information. The network node (200) transmits (2:1) a System Information Block Type1, SIB1, message that includes at least one other SIB than SIB1 as an extension. The wireless device (202) reads (2:2) the at least one other SIB in the SIB1 if the wireless device (202) is capable of reading the extension in the SIB1 message. The network node (200) may further transmit (2:1) the at least one other SIB in a subsequent separate System Information message. The wireless device (202) is then able to read (2:4) the at least one other SIB in the subsequently received System Information message if the wireless device (202) is not capable of reading the extension in the SIB1 message. Thereby, if the wireless device is capable of reading the extension in the SIB1 message it will acquire the system information earlier than if the other SIBs are only transmitted in less frequent System Information messages.

Abstract: In some embodiments, a method receives a plurality of swatch configurations that each define combinations for lightness values, saturation values, and hue values and receives information associated with a characteristic of an image. A swatch configuration is selected based on the information where the swatch configuration defines a plurality of combinations for lightness values, saturation values, and hue values. The method generates a plurality of colors using the plurality of combinations for lightness values, saturation values, and hue values by varying at least one of the saturation value, the lightness value, and the hue value for the plurality of colors. The plurality of colors are applied to an interface that is displaying the image.

Abstract: Provided are methods and devices of picture processing and user interface display. The method includes: determining at least one picture in user interface data corresponding to a user interface; storing the at least one picture to an external storage device in an electronic device; and generating an index identifier based on a storage location of the at least one image picture in the external storage device, where the index identifier is used by the electronic device to read the at least one picture in the external storage device indexed by the index identifier for displaying the user interface. The present disclosure provides a guarantee for further improving the display effect of a user interface, saves the memory space of an MCU to a large extent, and improves the user experience.

Abstract: An information processing method, apparatus, and non-transitory recording medium storing instructions for executing an information processing method. The information processing method, performed by a computer connectable to a terminal via a network, includes determining a status of a device based on a first image of the device transmitted from the terminal, specifying a solution for a problem occurring in the device based on the status of the device, displaying a first message on the terminal to indicate the specified solution, displaying a second message on the terminal to request a second image obtained by photographing a specified part of the device or the device in a specified state, updating the status of the device based on the second image, specifying the solution for the problem in accordance with the updated status of the device, and displaying a third message on the terminal to indicate the specified solution for the problem.

Abstract: An assistance system for dental treatment, particularly for changing tooth color, is provided herein, including a measuring device for determining tooth data. The data captured is transmitted from the measuring device to a data processing means. The data processing means includes a camera for capturing a tooth mage. Using a selection means, a color change level for the tooth image or the teeth is specified and, thereafter, the tooth image is adapted based on the selected color change level using an adaptation means. Thus, it is possible to show the patient an image of a color change of his teeth caused by the dental treatment in relation to the appearance of his face, so the patient can judge a color change in relation to his or her face.

Abstract: In implementations of text wrap detection, one or more computing devices of a system implement a text wrap module for detecting text wrap around a component of digital content of a document. The document is preprocessed to segregate the digital content into a text group and a non-text group. Members of the text group are overlaid with a graphical element colored to provide a contrast between the graphical element and the component of the digital content. The document is converted to a digital image and a feature map of the digital image is generated. The feature map is further processed using machine learning and a detection indication is output. The detection indication may indicate that text wrap is detected around a member of the text group, a member of the non-text group, or that no text wrap is detected.

Abstract: Systems and methods are described for dynamically fitting a digital image based on the saliency of the image and the aspect ratio of a frame are described. The systems and methods may provide for identifying an aspect ratio of the frame, selecting a salient region of the digital image based on the aspect ratio using a saliency prediction model, and fitting the digital image into the frame so that a boundary of the frame is aligned with a boundary of the salient region.

Abstract: A method for object recognition includes, at a computing device, receiving an image of a real-world object. An identity of the real-world object is recognized using an object recognition model trained on a plurality of computer-generated training images. A digital augmentation model corresponding to the real-world object is retrieved, the digital augmentation model including a set of augmentation-specific instructions. A pose of the digital augmentation model is aligned with a pose of the real-world object. An augmentation is provided, the augmentation associated with the real-world object and specified by the augmentation-specific instructions.

Abstract: One variation of a method for tracking and maintaining inventory in a store includes: accessing a image of an inventory structure in the store; identifying a top shelf, in the inventory structure, depicted in the image; identifying a set of product units occupying the top shelf based on features detected in the image; identifying a second shelf, in the set of shelves in the inventory structure, depicted in the image, the second shelf arranged below the top shelf in the inventory structure; based on features detected in the image, detecting an understock condition at a slot—assigned to a product type—on the second shelf; and, in response to the set of product units comprising a product unit of the product type, generating a prompt to transfer the product unit of the product type from the top shelf into the slot on the second shelf at the inventory structure.

Abstract: Embodiments for intelligent image note processing by a processor. One or more images associated with a user equipment (UE) may be determined to have notation data. The notation data may be extracted from the one or more images to create one or more actions in relation to the notation data.

Abstract: The invention is a system and method for searching a subject or substrate for arthropods and communicating information about any arthropods to a user. A preferred embodiment of an automated arthropod detection system includes an imaging subsystem, a processor, and a communication unit. Embodiments of an automated arthropod detection system may implemented in various configurations, which include, but are not limited to: a non-imaging configuration, a handheld configuration, a self-supporting configuration, and a wearable configuration. The method of the invention comprises using an embodiment of an automated arthropod detection system to obtain one or more digital images, process the one or more digital images using an arthropod recognition machine learning algorithm, and communicate the results from the arthropod recognition machine learning algorithm to the user of the system.

Abstract: Systems and methods for improving a search process are provided. A networked system accesses, from online sources, fashion trend information including pictures illustrating fashion trends. The networked system determines a plurality of top fashion trends, and extracts, using an image detection algorithm, images of fashion items from a picture associated with each of the top fashion trends. Using the extracted images, the networked system performs an image search for matching inventory items. The networked system then generates and stored a plurality of fashion trend user interfaces, whereby the plurality of fashion trend user interfaces each comprise selectable elements that represent the plurality of top fashion trends. At runtime, the networked system receives an indication to initiate a search for fashion by trends, and in response, accesses the plurality of stored fashion trend user interfaces. One of the plurality of stored fashion trend user interfaces is presented on a user device.

Abstract: In implementations of weighted color palette generation, one or more computing devices implement a generation system which receives input data including an input color palette. A first machine learning model receives the input color palette and generates an unweighted color palette based on the input color palette. A second machine learning model receives the generated unweighted color palette and generates a weighted color palette based on the generated unweighted color palette. The generation system renders the weighted color palette in a user interface.

Abstract: In some embodiments, a method calculates a first color metric value from a detection window in a first image that is detected by a visual system. A second image of pixels is generated where the pixels include one or more second color metric values that meet the first color metric value within a threshold. The method compares the second image to an object. When the comparison meets a criterion, the method transitions from a first mode to a second mode. When the comparison does not meet the criterion, the method continues to operate in the first mode.

Abstract: The present invention relates to a measurement or inspection apparatus which can be adjusted depending on a color of a plugged-in cable. In this manner the display of measurement values and the colour of the plugged-in cable can be coordinated to each other such that a simple assignment between measurement values and cable can be performed.

Abstract: A method of recognizing an object includes comparing a three-dimensional point cloud of the object to a three-dimensional candidate from a dataset to determine a first confidence score, and comparing color metrics of a two-dimensional image of the object to a two-dimensional candidate from the dataset to determine a second confidence score. The point cloud includes a color appearance calibrated from a white balance image, and the color appearance of the object is compared with the three-dimensional candidate. The first or second confidence score is selected to determine which of the three-dimensional candidate or the two-dimensional candidate corresponds with the object.

Abstract: A method for detecting a known pattern having homogeneous areas includes the steps of taking an image of the known pattern or, of at least a portion of the known pattern, and performing detection. Detection includes an initial detection of a first region of the image and the detection of a feature of the known pattern within a second region of the image. The second region is arranged adjacent to the first region. The initial detection is aimed at estimating at least one region parameter, such as a position of the region of the pattern, and/or orientation of the region or distortion of same. Starting from this, the second region can be selected in which a feature, such as a corner of the checkerboard is detectable. This second detection step is aimed at obtaining at least one region parameter such as the position of a feature within the second region.

Abstract: A system and a method for image fusion are provided. The method may comprise: obtaining a visible light image and an infrared image relating to a same scene; performing a first decomposition to the visible light image to obtain a first high-frequency component of the visible light image and a first low-frequency component of the visible light image; performing a first decomposition to the infrared image to obtain a first high-frequency component of the infrared image and a first low-frequency component of the infrared image; fusing the first high-frequency component of the visible light image and the first high-frequency component of the infrared image based on a first algorithm to generate a first fused high-frequency component; and performing reconstruction based on the first fused high-frequency component, the first low-frequency component of the visible light image, and the first low-frequency component of the infrared image to generate a fused image.

Abstract: A system, method, and computer-readable medium for performing an encoded geometry fabrication operation. In various embodiments, the encoded geometry fabrication operation comprises: identifying data to be encoded within the encoded geometry, the data to be encoded within the encoded geometry comprising a unique code to be associated with the encoded geometry; converting the data to be encoded to the encoded geometry; fabricating a part with the encoded geometry, the encoded geometry passively representing the unique code with a physical code; and, performing a computer vision operation to read the physical code of the encoded geometry, the computer vision operation confirming the unique code of the encoded geometry corresponds to the physical code of the encoded geometry.

Abstract: A system for improving inspection systems is provided. The system generally includes a camera in communication with a processor. The camera is configured to capture an image for inspection of an object A to be inspected. The camera transfers the image to the processor for comparison with a reference image. If the comparison is not within a predetermined range, then the camera settings are adjusted and a new image is taken until the current image matches the reference image. Alternatively, or in addition to, the system is capable of learning based on a plurality of data and creating a model image for comparison prior to capturing the first image.

Abstract: A method for clustering product media files is provided. The method includes dividing each media file corresponding to one or more products into a plurality of tiles. The media file include one of an image or a video. Feature vectors are computed for each tile of each media file. One or more patch clusters are generated using the plurality of tiles. Each patch cluster includes tiles having feature vectors similar to each other. The feature vectors of each media file are compared with feature vectors of each patch cluster. Based on comparison, product groups are then generated. All media files having comparison output similar to each other are grouped into one product group. Each product group includes one or more media files for one product. Apparatus for substantially performing the method as described herein is also provided.

Abstract: A skin analyzing device includes: a facial coordinates setting unit that sets facial coordinates on a facial image of a measurement subject by using, as a reference, a position of a facial portion identified from the facial image, a region-of-interest setting unit that sets a first region of interest to a first facial image of the measurement subject, and sets a second region of interest that has facial coordinates in common with the first region of interest to a second facial image of the measurement subject, and a skin analysis user interface (UI) unit that displays the first facial image and the second facial image next to each other, and displays a skin analysis result in the first region of interest with respect to the first facial image and a skin analysis result in the second region of interest with respect to the second facial image.

Abstract: A computing device obtains a digital image of a color calibration target for a product; obtains product information for the product; determines image adjustment information based on the digital image of the color calibration target; obtains a digital image of the product based on the image adjustment information; and transmits the image data of the product and the product information to a backend product computer system. Obtaining the product information for the product may include scanning a graphical code, such as a QR code or a bar code, or obtaining information from the product via short-range radio-frequency communication. The method may further include receiving a response from the backend product computer system, which may include additional product information. The color calibration target and encoded product information may be included in a QR code having three or more color regions.

Abstract: Disclosed are devices, systems and methods for providing efficient implementations for pattern recognition. Embodiments of the disclosed technology use local binary comparisons and random projection in place of conventional convolution operations. Some embodiments of the disclosed technology provide an important means to improve memory and speed efficiency that is particularly suited for small footprint devices and hardware accelerators. Other embodiments compare a binary pattern to one or more portions of an input image to determine a plurality of binary results, and generate an estimate of the feature based on the plurality of binary results. Yet other embodiments generate an final image, comprising a final estimate of the feature, by randomly selecting one or more portions from each of a plurality of initial images, wherein each of the plurality of initial images comprises an initial estimate of the feature.

Abstract: A coefficient calculator calculates a correlation coefficient representing a correlation between a normal frame, which is imaged in a state in which normal light is applied to a subject, and a special frame, which is imaged in a state in which special light is applied to the subject; and a processing unit that applies image processing to the special frame so that a part in which the correlation coefficient is high and a part in which the correlation coefficient is low are displayed differently in the special frame. Further provided are: a first determination unit that calculates, for each pixel or each area of the normal frame, a first determination value representing a probability that a predetermined site is imaged; and a second determination unit that calculates, for each pixel or each area of the special frame, a second determination value representing a probability that a predetermined site is imaged.

Abstract: An image processing method includes partitioning an image under test to form a plurality of contiguous image segments having similar image properties, deriving feature data from a subset including one or more of the image segments, and comparing the feature data from the subset of image segments with feature data derived from respective image segments of one or more other images so as to detect a similarity between the image under test and the one or more other images.

Abstract: An autonomous inventory tracking apparatus includes an image acquisition unit configured to acquire an image, and a processor configured to detect a calibration plate in the image acquired from the image acquisition unit, calculate a color correction value for the image according to a color block of the calibration plate, the color block matching a reference value, correct color in the image using the calculated color correction value to provide a color-corrected image, and perform commodity recognition processing on the color-corrected image so as to identify the commodity in the image acquired from the image acquisition unit.

Abstract: A computer implemented method comprising identifying, by one or more processors, a set of images of an individual and a product purchase history corresponding to the individual, analyzing, by one or more processors, the set of images of an individual, the images being from a defined time window, identifying, by one or more processors, one or more products within the product purchase history that correspond to use within the defined time window, determining, by one or more processors, one or more changes in appearance of the individual based on the analyzed images, determining, by one or more processors, correlations between the determined changes in appearance and the identified products used by the individual, and notifying, by one or more processors, the individual of the determined correlations.

Abstract: Introduced here is a machine learning related technique for supplying an observed model additional training data based upon previously received training data. To determine textual content of a character string based on a digital image that includes a handwritten version of the character string a substantial amount of training data is used. The character string can include one or more characters, and the characters can include any of letters, numerals, punctuation marks, symbols, spaces, etc. Disclosed herein is a technique to determine variations between different images of matching known character strings and substitute those variations into the images in order to create more images with the same known character string.

Abstract: An object detection network can be trained with training images to identify and classify objects in images from a sensor system disposed on a maritime vessel. The objects in the images can be identified, classified, and heat maps can be generated. Instructions can be sent regarding operation of the maritime vessel. For some training images, water conditions, sky conditions, and/or light conditions in the image can be changed to generate a second image.

Abstract: A computer-implemented method includes: storing, by a computing device, pixel-based classification rules in a memory of a computing device; storing, by the computing device, video uploading rules that identify a subset of a plurality of cameras implemented within a vehicle for which video should be uploaded in the memory of the computing device; detecting, by the computing device, satisfaction of video upload event criteria based on video or image data from at least one of the plurality of cameras and vehicle information comprising one of vehicle sensor information and vehicle diagnostic information; determining, by the computing device, a subset of the plurality of cameras based on the detecting the satisfaction of the video upload event criteria; and uploading, by the computing device, video captured by only the subset of the plurality of cameras to a video storage server.

Abstract: Described herein is a method of generating an image that includes receiving a set of data corresponding to an object. The method also includes generating a three-dimensional representation of the object using the set of data. The method includes generating properties for the object using the set of data. The method also includes associating the properties with the three-dimensional representation of the object, wherein the three-dimensional representation of the object and the properties for the object are used to produce training data for an object recognition algorithm.

Abstract: An image processing apparatus generates a binary image from a multivalue input image, detects a character region and a non-character region from the binary image, and clips regions surrounding each of characters included in the detected character region as character clipping rectangles. The apparatus determines, on the basis of a black pixel density of the binary image included in the character clipping rectangle, whether or not the character clipping rectangle is a character region and determines, on the basis of a number of pixels included in the character clipping rectangle determined to be a non-character region, whether or not the character clipping rectangle determined to be a non-character region is a character region.

Abstract: A spectrometer includes a spectrogram, digital camera and signal processing to compensate for limits of system spatial resolution, spatial distortions and lack of precision spatial registration, limited dynamic range, The spectrogram is captured by a digital camera, and the corresponding image is converted to a wavelength and magnitude with mitigation of optical point spread function and potential magnitude clipping due to over-exposure. The clipped portions of the signal are reconstructed using tangential adjacent point spread functions as a reference or adjacent channel ratios as reference. Multichannel camera detectors having unique response magnitude ratios per wavelength are exploited to make associated direct mappings, thereby making improvements in wavelength resolution and accuracy to up to at least one to two orders of magnitude.

Abstract: A method may include extracting feature-data from an image which includes location data that indicates multiple locations within the image and multiple feature vectors that each correspond to one of the multiple locations. Each feature vector may represent a feature of an object in the image. The method may include determining a feature-data plot based on relative positions of the multiple locations and selecting a grid for the feature-data plot. The method may include generating a first representative feature vector for a first cell of the grid based on a first feature vector set and generating a second representative feature vector for a second cell of the grid based on a second feature vector set. The method may include generating a single feature vector that represents the object in the image based on the first representative feature vector and the second representative feature vector and encrypting the single feature vector.

Abstract: A sample selection method and apparatus and a server belong to the field of metric learning technologies. The method includes: selecting n sample pairs from an unlabeled sample set, each sample pair including two samples, and each sample including data in p modalities; calculating a partial similarity between data that is in each modality and that is of one sample included in the sample pair and data that is in each modality and that is of the other sample, to obtain p×p partial similarities; calculating, according to the p×p partial similarities, an overall similarity between the two samples included in the sample pair; obtaining a degree of difference between the p×p partial similarities and the overall similarity; and selecting a sample pair that meets a preset condition and that is in the n sample pairs as a training sample.

Abstract: A virtual display method, device, electronic apparatus, and computer readable storage medium are provided. The virtual display method includes: obtaining a first image including information on a first target which includes at least one of a shoe, a piece of clothes, and an accessory; extracting the information on the first target from the first image to generate a second image; and photographing a second target with the second image as a foreground to obtain and display a third image including the information on the first target and the information on the second target which includes a human body.