Abstract: Devices and techniques are generally described for image-guided three dimensional (3D) modeling. In various examples, a first two-dimensional (2D) image representing an object may be received. A first three-dimensional (3D) model corresponding to the first 2D image may be determined from among a plurality of 3D models. A first selection of a first portion of the first 2D image may be received. A second selection of a second portion of the first 3D model corresponding to the portion of the first 2D image may be received. At least one transformation of the first 3D model may be determined based at least in part on differences between a geometric feature of the first portion of the first 2D image and a geometric feature of the second portion of the first 3D model. A modified 3D model may be generated by applying the at least one transformation to the first 3D model.

Abstract: A computer implemented method or system including a map conversion toolkit and a map Population toolkit. The map conversion toolkit allows one to quickly trace the layout of a floor plan, generating a file (e.g., GeoJSON file) that can be rendered in two dimensions (2D) or three dimensions (3D) using web tools such as Mapbox. The map population toolkit takes the scan (e.g., 3D scan) of a room in the building (taken from an RGB-D camera), and, through a semi- automatic process, generates individual objects, which are correctly dimensioned and positioned in the (e.g., GeoJSON) representation of the building. In another example, a computer implemented method for diagraming a space comprises obtaining a layout of the space; and annotating or decorating the layout with meaningful labels that are translatable to glanceable visual signals or audio signals.

Abstract: In variants, the method for automatic debris detection includes: determining a region image; optionally determining a parcel representation for the region image; generating a debris representation using the region image; generating a debris score based on the debris representation; and optionally monitoring the debris score over time.

Abstract: Provided is an image recognition system that can easily perform image recognition on a side face of an item. An image recognition system according to one example embodiment of the present invention includes: a placement stage used for placing an item below an image capture device provided so as to perform capturing of a downward direction; a support structure configured to support the item at a predetermined angle relative to a top face of the placement stage; and an image recognition apparatus that identifies the item by performing image recognition on an image of the item acquired by the image capture device.

Abstract: Systems and methods are disclosed for locating a retroreflective object in a digital image and/or identifying a feature of the retroreflective object in the digital image. In certain environmental conditions, e.g. on a sunny day, or when the retroreflective material is damaged or soiled, it may be more challenging to locate the retroreflective object in the digital image and/or to identify a feature of the object in the digital image. The systems and methods disclosed herein may be particularly suited for object location and/or feature identification in situations in which there is a strong source of ambient light (e.g. on a sunny day) and/or when the retroreflective material on the object is damaged or soiled.

Abstract: Object re-identification refers to a process by which images that contain an object of interest are retrieved from a set of images captured using disparate cameras or in disparate environments. Object re-identification has many useful applications, particularly as it is applied to people (e.g. person tracking). Current re-identification processes rely on convolutional neural networks (CNNs) that learn re-identification for a particular object class from labeled training data specific to a certain domain (e.g. environment), but that do not apply well in other domains. The present disclosure provides cross-domain disentanglement of id-related and id-unrelated factors. In particular, the disentanglement is performed using a labeled image set and an unlabeled image set, respectively captured from different domains but for a same object class.

Abstract: An information processing system includes an image reading device and an information processing device. The image reading device reads a document to generate target image data. The information processing device processes the target image data. The information processing device includes a first conversion processing section, a second conversion processing section, and a selection section. The first conversion processing section is capable of converting image data to character code data. The second conversion processing section is capable of converting image data to character code data. The selection section selects conversion of the target image data to character code data by the first conversion processing section or the second conversion processing section.

Abstract: A method of identifying an object within an environment is described for capturing visual data associated with the environment and comparing data defining a candidate object in the environment with an object data store storing object templates providing data pertaining to one or more objects; responsive to matching the data defining the candidate object in the environment and an object template, identifying the candidate object; and responsive to failing to match data representing the candidate object in the environment with an object template, identifying one or more object identifiers disposed in the environment to define identifier search data, and using the identifier search data to interrogate a further object data store to identify the candidate object.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for one-shot and few-shot image segmentation on classes of objects that were not represented during training. In some embodiments, a dual prediction scheme may be applied in which query and support masks are jointly predicted using a shared decoder, which aids in similarity propagation between the query and support features. Additionally or alternatively, foreground and background attentive fusion may be applied to utilize cues from foreground and background feature similarities between the query and support images. Finally, to prevent overfitting on class-conditional similarities across training classes, input channel averaging may be applied for the query image during training. Accordingly, the techniques described herein may be used to achieve state-of-the-art performance for both one-shot and few-shot segmentation tasks.

Abstract: A target detection method and apparatus, in which the method includes: obtaining a target candidate region in a to-be-detected image; determining at least two part candidate regions from the target candidate region by using an image segmentation network, where each part candidate region corresponds to one part of a to-be-detected target; and extracting, from the to-be-detected image, local image features corresponding to the part candidate regions; and learning the local image features of the part candidate regions by using a bidirectional long short-term memory LSTM network, to obtain a part relationship feature used to describe a relationship between the part candidate regions; and detecting the to-be-detected target in the to-be-detected image based on the part relationship feature. As a result, image data processing precision in target detection can be improved, application scenarios of target detection can be diversified, and target detection accuracy can be improved.

Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.

Abstract: Embodiments of the present disclosure provide systems, methods, and computer storage media for implementing a nuanced-color search and recommendation system. Employing various techniques described herein, an improved search engine for categorizable items is provided to generate accurate color-based search results and recommendations that are relevant to a nuanced color provided as a search parameter. In various implementations, digital assets that depict categorizeable items can be analyzed to characterize the depicted items with, among other things, a particular shade of a determined dominant color. In this way, categorizeable items can be searched based at least in part on a selected shade of a particular dominant color to generate a primary search result. In further embodiments, other categorizeable items can be generated as recommendations based on characteristics of the primary search result.

Abstract: A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

Abstract: The embodiments of the present application provides a target detection method, which comprises: obtaining a plurality of images acquired by an image acquiring device as images to be detected when a region to be detected is illuminated by light sources with different illuminating angles, wherein the different illuminating angles correspond to the different images to be detected (S101); and determining whether a target exists in the region to be detected based on gray scale differences between the obtained images to be detected with illuminating by the light sources of with different illuminating angles (S102). The method is applied to achieve a simple and effective detection of the target existing in the region to be detected.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: Implementations relate to improved crop field segmentation and crop classification in which boundaries between crop fields are more accurately detected. In various implementations, high-elevation image(s) that capture an area containing multiple demarcated fields may be applied as input across one or more machine learning models to generate a boundary enhancement channel. Each pixel of the boundary enhancement channel may be spatially aligned with a corresponding pixel of the one or more high-elevation images. Moreover, each pixel of the boundary enhancement channel may be classified with a unit angle to a reference location of the field of the multiple demarcated fields that contains the pixel. Based on the boundary enhancement channel, pixel-wise field memberships of pixels of the one or more high-elevation images in the multiple demarcated fields may be determined.

Abstract: The present invention relates to a system for steering or guiding a sod harvesting machine (sod harvester) with a high degree of precision, without the need for the sod harvesting machine to have a guide stick or shoe in physical or mechanical contact with the sod to be harvested or to be in connection with remote navigation systems, such as GPS. The system includes a sensor mounted at the front of the harvester and a processor for processing information from the sensor to determine a boundary line and for steering the sod harvester along the boundary line.

Abstract: A method comprising: dividing a virtual space using virtual partitions that affect perception of the virtual space by a user within the virtual space; in response to a first action in the virtual space relative to a first virtual partition by a user making a first change to how the first virtual partition affects the virtual space perceived by the user.

Abstract: An augmented reality system including processors and storage devices storing instructions. The instructions may configure the processors to perform operations including determining a location of a mobile device, identifying a facility based on the location, requesting mapping data from a facility server, the mapping data comprising a plurality of vehicles, vehicle location data, and landmarks, identifying one location attribute in a video feed captured by an augmented reality viewer displayed in the mobile device, and determining whether the one location attribute matches the plurality of vehicles or the landmarks. The operations may also include identifying qualified vehicles from the vehicles based on qualification criteria, determining whether the qualified vehicles is in a field of view of the augmented reality viewer based on object attributes and the vehicle location data, and generating a modified video feed by providing an indication associated with qualified vehicles in the field of view.

Abstract: A subtitle extraction method includes decoding a video to obtain video frames; performing adjacency operation in a subtitle arrangement direction on pixels in the video frames to obtain adjacency regions in the video frames; and determining certain video frames including a same subtitle based on the adjacency regions, and subtitle regions in the certain video frames including the same subtitle based on distribution positions of the adjacency regions in the video frames including the same subtitle. The method also includes constructing a component tree for at least two channels of the subtitle regions and using the constructed component tree to extract a contrasting extremal region corresponding to each channel; performing color enhancement processing on the contrasting extremal regions of the at least two channels to form a color-enhanced contrasting extremal region; and extracting the subtitle by merging the color-enhanced contrasting extremal regions of at least two channels.

Abstract: An electronic device is disclosed. The electronic device includes a communicator configured to receive a video consisting of a plurality of frames, a processor configured to sense a frame having a predetermined object in the received video, extract information from the sensed frame, and generate metadata by using the extracted information, and a memory configured to store the generated metadata.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for commenting a video, and relate to the field of cloud computing. The method may include: acquiring content information of a to-be-processed video frame; constructing text description information based on the content information, the text description information being used to describe a content of the to-be-processed video frame; importing the text description information into a pre-trained text conversion model to obtain commentary text information corresponding to the text description information, the text conversion model being used to convert the text description information into the commentary text information; and converting the commentary text information into audio information.

Abstract: A store management server configured to communicate with a first gate control device that controls a first gate installed in a store includes a network interface, and a processor configured to identify a customer entering the store, acquire customer information about the detected customer, detect that the customer is holding a commodity in the store, acquire sales restriction information about the commodity held by the customer, determine whether the customer is eligible to buy the commodity held by the customer based on the acquired customer information and sales restriction information, and control the network interface to transmit, when it is not determined that the customer is eligible to buy the commodity, a first command to the first gate control device. The first command causes the first gate control device to close the first gate.

Abstract: This application describes techniques for providing computer vision for manual services. In some instances, a remote system may determine that a current time is within a threshold period of time of a scheduled service and, based on the determination, send a first message requesting image data to a camera apparatus located within an environment. After sending the first message, the remote system may receive image data associated with the environment from the camera apparatus and use the image to detect an object within the environment. The remote system can then send a second message to a device of a guest and a third message to a device of a user, where each of the second message and the third message indicates that the object is within the environment. In some instances, the object can include an animal while in some instances, the object can include a person.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.

Abstract: A backplate may include a backplate housing providing a cavity to removably accept any of a plurality of device control assemblies, where a device control assembly of the plurality of device control assemblies includes a set of device control assembly electrical contacts. The backplate housing may mount to an electrical junction box. The backplate may further include a backplate junction box electrical connector to connect to electrical wiring within the electrical junction box, and a set of backplate electrical contacts to couple to the set of device control assembly electrical contacts.

Abstract: Enclosed are embodiments of an ML-based framework for drivable surface annotation. In an embodiment, a method comprises: obtaining, using at least one processor, multimodal map data for a geographic region; and automatically annotating, using the at least one processor, one or more semantic masks of the map data using a machine learning model.

Abstract: Methods and systems for controlling an autonomous machine. The autonomous machine has sensors generating input data, while the controller includes two or more neural networks that inference using the input data and generate output data. The neural networks can be trained using an identical set of training data set. The output data from each of the neural networks are monitored to ensure that the integrity of the operation is maintained by, for example, the output data from one neural network is compared with the output data from another neural network to verify the consistency. If the comparison yields that the integrity of the system is not maintained at an acceptable level, the controller can stop using the output in controlling the autonomous machine.

Abstract: A traffic signal display estimation system recognizes, based on the position information of a vehicle and a traffic signal information, a traffic signal included in a camera image, identifies a traffic signal display for each recognized traffic signal, and calculates, for each traffic signal, a first evaluation value indicating the certainty of the identified traffic signal display. The system integrates, based on a traffic-signal-to-traffic-signal relational information, a forward traffic signal that is ahead of the travelling direction and that the vehicle should follow and a traffic signal correlated with the forward traffic signal in terms of the traffic signal display, among a plurality of recognized traffic signals. When there is an inconsistency in traffic signal displays identified between a plurality of integrated traffic signals, the system determines a first estimated traffic signal display of the forward traffic signal, based on the first evaluation value for each traffic signal.

Abstract: A processing system comprises a processor and a memory. The memory stores instructions executable by the processor to receive a polarimetric image from a polarimetric camera sensor, and to identify a road surface in the received image based on a vehicle location, an orientation of the camera sensor, and a vehicle pose. The memory stores instructions, upon identifying, in the polarimetric image, polarized light reflections from the identified road surface based on a polarization direction and a polarization degree determined from the polarimetric image, to remove the identified polarized light reflections from the polarimetric image, thereby generating an updated polarimetric image including generating a de-mosaicked imaged based on the identified polarized light reflections, wherein the identified polarized light reflections are ignored at de-mosaicking, and to identify a road feature including a lane marking based on the updated polarimetric image.

Abstract: The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

Abstract: An image capturing system includes a camera unit that captures an image of a cell; a display unit; an input unit that receives input from an operator regarding a selection operation on the cell; an analyzing unit that analyzes the image corresponding to the cell to which the selection operation is given and extracts a feature amount of the cell; and a specifying unit that specifies a recommended cell. The specifying unit sets a parameter that defines a range of the cell to be selected based on the feature amount of the cell to which the selection operation is given up to a first time point. In an image including the cell obtained by image capturing at a second time point later than the first time point, the specifying unit specifies the recommended cell on which the operator is prompted to make a selection based on the parameter.

Abstract: Some embodiments provide a method for generating a graphical user interface (GUI) for a research system. The method receives a request from a user of the research system for information about a particular category. The method generates a chart that displays a set of events associated with the particular category over a particular period of time. The method incorporates the chart into a GUI for the particular category for transmission to the user. Some embodiments generate a list of events associated with the particular category and generate a GUI that displays the list of the events. Each event is represented in the list by a title of a document identified by the research system as representative of the event.

Abstract: A layout analysis method, an electronic device, and a non-transitory computer-readable storage medium are provided. The layout analysis method includes: obtaining coordinate information of a plurality of text lines in an image; creating a layout model of the image according to the coordinate information; analyzing a layout structure of the text lines based on the layout model; and determining an order of the text lines relative to each other based on the layout structure.

Abstract: Method and system of automatically extracting information of a predefined type from a document is provided. The method comprises using an object detection algorithm to identify at least one segment of the document that is likely to comprise the information of the predefined type. The method further comprises building at least one bounding box corresponding to the at least one segment and if the bounding box is likely to comprise the information of the predefined type extracting the information comprised by the bounding box from the at least one bounding box.

Abstract: A system for tracking motion of a user includes one or more peripherals associated with the user, a first camera operable to be mounted upon the user's head, a second camera operable to capture images of the user and the first camera, a first tracking unit operable to determine the position of the one or more peripherals in images captured by the first camera, a second tracking unit operable to determine the position of the first camera and the one or more peripherals in images captured by the second camera, a location generating unit operable to identify the location of the one or more peripherals and the first camera in dependence upon the respective determinations by the first and second tracking units, a tracking validation unit operable to compare the locations of at least one peripheral as determined using the first and second tracking units and determine whether a difference in the locations exceeds a threshold value, and a location output unit operable to output location information for at least the o

Abstract: A fingerprint generator capable of applying a constant force includes: a base plate in which a target surface may be on an upper surface of the base plate; a fingerprint mounting unit that is apart from the upper surface of the base plate and capable of mounting a fingerprint molding body having a fingerprint shape thereon on a lower portion of the fingerprint mounting unit; a driving unit that is apart from the upper surface of the base plate and capable of moving the fingerprint mounting unit up and down; and a force measuring unit configured to measure an impact force when the fingerprint mounting unit descends and contacts the fingerprint shape with the target surface to generate a fingerprint on the target surface.

Abstract: A method for enabling an electronic device to receive a fingerprint data and an electronic device are disclosed. The electronic device includes a display unit and a sensing unit, and the display unit includes a green sub-pixel, a blue sub-pixel and a red sub-pixel. The method includes the following steps: the green sub-pixel of the display unit being in an on state, the blue sub-pixel and the red sub-pixel of the display unit being in off state; producing a visible light by the display unit; using the sensing unit to sense a reflected portion of the visible light; and receiving the fingerprint data from the sensing unit.

Abstract: A fingerprint authentication method and device, display device, and biometric security apparatus include: a fingerprint sensor; a minutiae extraction circuit connected to the fingerprint sensor; a minutiae storage circuit connected to the minutiae extraction circuit; and a minutiae match circuit connected to the minutiae extraction circuit and the minutiae storage circuit, wherein the minutiae match circuit includes a class-wise comparator having a first input connected to the minutiae extraction circuit for receiving sensed fingerprint minutiae from each class of a plurality of classes, a second input connected to the minutiae storage circuit for receiving stored fingerprint minutiae belonging to each same class of the plurality of classes, respectively, and an output providing a fingerprint authentication signal responsive to the class-wise comparator.

Abstract: An interface display method and an electronic device are provided. The interface display method comprises steps of: during processing an interface display request of an application program, determining whether the interface display request meets a preset condition or not (101); if the interface display request meets the preset condition, acquiring at least one fingerprint acquisition area according to the interface display request (102); displaying an interface according to the interface display request (103), and activating a fingerprint recognition sensor corresponding to the at least one fingerprint acquisition area (104); and if the interface display request does not meet the preset condition, displaying the interface according to the interface display request, and controlling the fingerprint recognition sensor of the electronic device to be in an inactive state (105). The method reduces the power consumption of the electronic device, and prolongs the service life of the electronic device.

Abstract: Methods and systems for of generating reporting data in an automated, efficient, and risk-free fashion relating to an identification match relating to a probe image are disclosed. Methods include automatically capturing a comparison area in the probe image and a comparison area of a candidate image based on examiner input; facilitating a determination of whether a similarity or a dissimilarity exists between the comparison area in the probe image and the comparison area of the candidate image; automatically recording metadata based on the determination of whether the similarity or the dissimilarity exists between the comparison area in the probe image and the comparison area of the candidate image and updating an audit log; and generating a report comprising the metadata.

Abstract: A method of setting up an operating room including placing at least one surgical device on at least one surface in the operating room, capturing an image of the at least one surgical device with a camera, comparing actual attributes of the at least one surgical device determined using the image captured by the camera with desired attributes of the at least one surgical device stored in a digital preference storage using a computer system, and issuing instruction information of the at least one surgical device in the operating room, the instruction information being dependent on results of the step of comparing.

Abstract: A facial recognition process operating on a device may include one or more processes that determine if a camera and/or components associated with the camera are obstructed by an object (e.g., a user's hand or fingers). Obstruction of the device may be assessed using flood infrared illumination images when a user's face is not able to be detected by a face detection process operating on the device. Obstruction of the device may also be assessed using a pattern detection process that operates after the user's face is detected by the face detection process. When obstruction of the device is detected, the device may provide a notification to the user that the device (e.g., the camera and/or an illuminator) is obstructed and that the obstruction should be removed for the facial recognition process to operate correctly.

Abstract: An autonomous mobile device (AMD) or other device may perform various tasks during operation. The AMD includes a camera to acquire an image. Some tasks, such as presenting information on a display screen or a video call, may involve the AMD determining whether a user is engaged with the AMD. The AMD may move a component, such as the camera or the display screen, to provide a best experience for an engaged user. Images from the camera are processed to determine attributes of the user, such as yaw of the face of the user, pitch of the face of the user, distance from the camera, and so forth. Based on the values of these attributes, a user engagement score is determined. The score may be used to select a particular user from many users in the image, or to otherwise facilitate operation of the AMD.

Abstract: Provided is a method for processing images. The method can include: acquiring a target face image, and performing face key point detection on the target face image; acquiring a first fusion image by fusing a virtual special effect and a face part matched in the target face image based on a face key point detection result; acquiring an occlusion mask of the target face image; and generating a second fusion image based on the occlusion mask and the first fusion image.

Abstract: There are provided a comparison device and a comparison method including determining whether or not a comparison target person is a subject of a registered face image by comparing an imaged face image to the registered face image, determining whether or not a blocking object is provided in the imaged face image, determining whether or not removing the blocking object is required, by calculating a partial similarity score between the imaged face image and the registered face image in a partial area corresponding to the blocking object, and urging the blocking object to be detached based on the partial similarity score.

Abstract: Provided is an imaging system capable of stereo-photographing with both of visible and infrared images, and improving color reproducibility in visible-light-photographing. The imaging system includes two imaging sensors 1, and two DBPFs 5 that have transmittance characteristics in a visible light band and a second wavelength band, are respectively provided correspondingly to the two imaging sensors, and serve as optical filters. The imaging system has: at least four kinds of filters, which have mutual different spectral transmission characteristics corresponding to wavelengths in the visible light band and whose transmissions in a second wavelength band approximate each other; and two color filters provided so as respectively correspond to the two imaging sensors. The imaging system measures a distance to a target based on two visible or infrared image signals.

Abstract: A method and an apparatus for identity verification, an electronic device, a computer program, and a storage medium include: obtaining a first image of a document, where the first image contains a first face image; obtaining a second image containing a face of a to-be-verified person; performing face comparison on the first image and the second image to obtain a first comparison result; and obtaining an identity verification result according to the first comparison result.

Abstract: A face recognition method includes generating a target face recognition model, performing face detection on an image to obtain a first face image, and performing face recognition on the first face image in the image by using the target face recognition model to obtain a first face feature. Generating the target face recognition model includes determining a training sample, the training sample comprising a training face image calibrated with identity information, and training a general face recognition model by using the training sample, and updating a parameter of the general face recognition model based on a training target to obtain the target face recognition model, the training target being a prediction result of the general face recognition model predicting identity information of a new training face image in the training sample to be the calibrated identity information of the training face image in the training sample.

Abstract: A face authentication apparatus includes a first authentication unit that performs first authentication on a face image of an authentication target based on a threshold, a second authentication unit that performs second authentication by an authentication method other than face authentication, a detection unit that detects use or non-use of the second authentication unit, a threshold change unit that sets a larger value to the threshold when the second authentication unit is used, compared with a value to be set when the second authentication unit is not used, and a personal authentication unit that performs personal authentication based on a result of the first authentication when the second authentication unit is not used, while performs personal authentication based on the results of the first authentication and the second authentication when the second authentication unit is used, with use of the threshold after the setting.