Abstract: Techniques are described herein for providing smart suggestions for image zoom regions. A method includes: receiving a search query; performing a search using the search query to identify search results that include image search results including a plurality of images that are responsive to the search query; for a given image of the plurality of images included in the image search results, determining at least one zoom region in the given image; and providing the search results including the image search results, including providing the given image and an indication of the at least one zoom region in the given image.

Abstract: Systems, apparatus, articles of manufacture and methods for face augmentation in video are disclosed. An example apparatus includes executable code to detect a face of a subject in the video, detect a gender of the subject based on the face, detect a skin tone of the subject based on the face, apply a first process to smooth skin on the face in the video, apply a second process to change the skin tone of the face, apply a third process to slim the face, apply a fourth process to adjust a size of eyes on the face, and apply a fifth process to remove an eye bag from the face. One or more of the first process, the second process, the third process, the fourth process, or the fifth process adjustable based on one or more of the gender or an age. The example apparatus also includes one or more processors to generate modified video with beauty effects, the beauty effects based on one or more of the first process, the second process, the third process, the fourth process, or the fifth process.

Abstract: Provided are an image recognition device and an image recognition method capable of improving subject recognition accuracy. The image recognition device (image sensor 1) according to the present disclosure includes an imaging unit (10) and a recognition unit (14). The imaging unit (10) generates image data by capturing a plurality of images in different wavelength bands using imaging pixels (R, G, B, IR) receiving light in four or more types of wavelength bands. The recognition unit (14) recognizes a subject from each of the plurality of pieces of image data for each of the wavelength bands.

Abstract: Modeling a product, including taking a first picture of a product at a first position and at a first distance with a camera, taking a second picture of a product at the first distance and a second position with the camera, combining the pictures based on overlapping portions of the respective pictures, and generating an interactable model of the combined pictures.

Abstract: A measuring system includes a surveying instrument including a distance-measuring section, an angle-measuring section, an imaging section, a drive section, and a communication section, a measuring marker to be carried by a worker, including a position sensor, a posture sensor, a laser emitting section, a laser light emission port, a distance meter, and a communication section, an eyewear device to be worn on the head of the worker, including a display, an imaging section, a position sensor, a posture sensor, and a communication section, and an arithmetic device configured to synchronize coordinate of the above devices, and calculate an identified three-dimensional position of the measurement point by image analysis from images imaged by the imaging sections of the surveying instrument and the eyewear device, and measures the identified three-dimensional positions of a plurality of the measurement points in the order in which measurement instructions were issued by the worker.

Abstract: The present invention provides a panoramic presentation method and apparatus. The present invention presents a panoramic image by using a combined structure of a single fisheye projector and a spherical screen in hardware, employs a geometrical relationship between a fisheye lens and the position of a viewer and isometric projection transformation, and enables 180° fisheye projection to present 720° environment information to the viewer in the center of the spherical screen, greatly simplifying the image conversion process and realizing zero distortion. According to a 720° panorama one-step generation method based on a single virtual camera in software, complex steps of collecting six images by a plurality of cameras, synthesizing a cube map and then converting the cube map into a panorama are not needed, the vertex position of a scene is directly adjusted in the process from a 3D space to a 2D image.

Abstract: In some examples, a machine learning model may be trained to denoise an image. In some examples, the machine learning model may identify noise in an image of a sequence based at least in part, on at least one other image of the sequence. In some examples, the machine learning model may include a recurrent neural network. In some examples, the machine learning model may have a modular architecture including one or more building units. In some examples, the machine learning model may have a multi-branch architecture. In some examples, the noise may be identified and removed from the image by an iterative process.

Abstract: A spectrally encoded fluorescence imaging system includes a multi-wavelength excitation light source emitting excitation light for illuminating a sample, optical components for introducing spectral encoding to focus different wavelengths of the excitation light at different positions in the sample to generate fluorescence at different, spatial positions, and band-shifting florescence imaging probes exhibiting excitation-dependent emission band, causing the fluorescence generated at different spatial positions to exhibit different band shifts, such that image information is encoded in the band-shifted fluorescence spectrums for parallel detection by a spectrometer or arrayed detectors operable to resolve different wavelengths.

Abstract: A method and system for uploading a media file container from a first device to a second device are described herein, including receiving an instruction to upload the media file container and in response, reading a metadata box of the media file container to locate a track box containing information about video data in a media data box, identifying sample frames of the video data throughout a duration of the video data in the media data box using information from the track box, packaging the identified sample frames, and uploading the packaged sample frames of the video data prior to completing upload of the media file container.

Abstract: Example implementations include a method, apparatus and computer-readable medium for synchronizing an event monitoring application with an event monitoring service, comprising receiving, from the event monitoring service, based on subscribing to a control panel, a current state of the control panel. In addition, the implementations further include receiving, based on the subscribing, a first event message from the control panel. Further, the implementations further include determining, in response to a conflict between the first event message and the current state of the control panel, an updated state of the control panel based on comparing a first attribute of the first event message to a second attribute of a second event message of the current state of the control panel. Additionally, the implementations further include displaying the updated state of the control panel.

Abstract: An electronic device includes a processor configured to estimate green values at red and blue pixel locations of an input Bayer frame based on green values at green pixel locations of the input Bayer frame. The processor is also configured to generate red, green, and blue channels of joint demosaiced-warped output RGB pixels from the input Bayer frame based on the green values at the green pixel locations, the estimated green values at the red and blue pixel locations, an alignment vector map, and kernels for red, green, and blue pixels.

Abstract: Embodiments of the present invention discloses an image processing method and apparatus, a device and a storage medium. The method includes: acquiring a first image and a second image, where the first image and the second image are respectively captured and transmitted by a first lens and a second lens disposed on an unmanned aerial vehicle (UAV); acquiring current field of view (FOV) information of the first lens and the second lens; and determining target display information of the second lens according to the FOV information and datum display information set for the first lens.

Abstract: A simultaneous implementation method of 3D subtraction magnetic resonance (MR) arteriography, 3D subtraction MR venography, and color-coded 4D MR angiography through post-processing of image information of 4D MR angiography according to an embodiment of the present disclosure may reduce scan time required to individually obtain an MR arteriography and an MR venography. In addition, not only anatomical information of arteries but also more accurate anatomical information of veins and more detailed hemodynamic information may be obtained.

Abstract: A system for projecting dots onto a three-dimensional image is configured to activate multiple pseudo-random dot projectors sequentially. Each pseudo-random dot projector includes an illumination source and a wavefront modulating element (WME) located along an optical axis in a path traversed by radiation produced by the illumination source. The system is configured to form images of dots in the projection plane along the optical axis. The system may also include controlling circuitry configured to perform a sequential projection operation on the plurality of pseudo-random dot projection systems to produce a temporal sequence of images and aggregate and process the temporal sequence of images to produce a high-resolution depth image of the three-dimensional surface.

Abstract: An image processing device includes a processor that performs composition processing for generating an image, which simulates a transmission state of a virtual image via a transmission-type display, on the basis of a parameter representing characteristics of a model of the transmission-type display from a first image serving as the basis of the virtual image and a second image indicating a real image.

Abstract: A predetermined image correction process is automatically performed on an image, and information for identifying that the predetermined image correction process has been performed is displayed in a state that an image having undergone the predetermined image correction process is being displayed.

Abstract: A program for generating a significant video stream causes a computer to function as coding parameter extraction means for extracting a coding parameter of each macroblock for each frame from an original video stream, macroblock selection means for selecting a significant macroblock that has a coding parameter satisfying a predetermined condition, and significant video stream generation means for generating a significant video stream in which frames of the original video stream temporally synchronized with the frames of the coding parameter in the significant macroblocks are combined in time series.

Abstract: Disclosed are apparatus, electronic device, and method for stitching dual-camera images. The method includes collecting two images having overlapping photographic content. The method includes extracting and matching feature points of the two images. The method includes roughly aligning the two images by using a homography matrix. The method includes accurately aligning the two images by using a least squares method to complete stitching the two images.

Abstract: According to an aspect, there is provided an apparatus for performing the following. The apparatus obtains, periodically or regularly during imaging of an imaging target, images of different areas of the imaging target. At least some of the images overlap partially with each other. In response to detecting that an image and all images partially overlapping with said image have been obtained, the apparatus marks the image as completed. In response to detecting that a pre-defined number of images are marked as completed but not locked, the apparatus executes a partial image stitching process comprising: performing image stitching on non-locked images based on at least some obtained this far, locking stitched completed images and performing one or more actions. The one or more actions comprising outputting image information via at least one interface and/or storing the image information to a database accessible by a user and/or analysis device.

Abstract: A first light beam can be collected by using an optical module. A second light beam can be obtained based on the first light beam. An image sensor can perform photoelectric conversion on the infrared light beam that is in the second light beam and that is irradiated to the first channel to obtain a first electrical signal. Photoelectric conversion can be performed on the visible light beam that is in the second light beam and that is irradiated to the second channel to obtain a second electrical signal. An initial image can be generated based on the first electrical signal and the second electrical signal. A color image and a grayscale image can be sent to an image processor. The image processor can receive the color image and the grayscale image. Fusion processing can be performed on the color image and the grayscale image to obtain a fused image.

Abstract: Systems and methods for correcting point of view (POV) aberrations in scanning folded cameras and multi-cameras including such scanning folded cameras. In a Tele folded camera that includes an optical path folding element (OPFE) and an image sensor, the OPFE is tilted in one or two directions to direct the Tele folded camera towards a POV of a scene, a Tele image or a stream of Tele images is captured from the POV, the Tele image having POV aberrations and the POV aberrations are digitally corrected to obtain an aberration-corrected image or stream of images.

Abstract: A method includes applying both a first dedicated functional-anatomical registration scheme to a first volume of interest to deform the first volume of interest and a second dedicated functional-anatomical registration scheme to a second volume of interest to deform the second volume of interest, wherein the first volume of interest at least partially encompasses the second volume of interest. The method includes identifying or segmenting relevant organs or anatomical structures related to a first group and a second group in the first volume of interest and the second volume of interest, respectively; generating a spatially smooth-transition weight mask that gives higher weight to image data corresponding to the identified or segmented relevant organs or anatomical structures related to the first group and the second group; and generating a final cohesive registered image volume from the first image volume and the second image volume utilizing the spatially smooth-transition weight mask.

Abstract: A method, an electronic device, and a computer program product for generating a three-dimensional scene are provided in embodiments of the present disclosure. The method may include obtaining source image features from a plurality of two-dimensional source images associated with the three-dimensional scene to be generated. The method may further include obtaining editing features from an editing instruction input by a user for the three-dimensional scene, each of the editing features respectively forming a feature pair with each of the source image features. Furthermore, the method may include updating the source image features by maximizing a correlation coefficient of each of the feature pairs, and generating the three-dimensional scene based at least on the updated source image features. Embodiments of the present disclosure can realize arbitrary editing of a three-dimensional scene, thus enhancing the experience of human-computer interaction.

Abstract: First images that are screenshots from a first version of a software component are obtained. Second images that are screenshots from a second version are obtained. A collection of image deviations that includes pair-wise image deviations between pairs of images are identified. A pair of images includes a first image from the first images and a corresponding second image from the second images. An image deviation indicates a portion of the second image identified as differing from a spatially corresponding portion of the first image. The image deviations are grouped into deviation groups. At least some of the second images are associated with at least some of the deviation groups. A subset of the second images corresponding to a deviation group is output responsive to a selection of an indication of the deviation group.

Abstract: An image enhancement method is provided. The method includes obtaining an image, extracting high-frequency components of the image, calculating an average pixel value of pixels corresponding to the extracted high-frequency components, and performing enhancement on pixels in the image that have pixel values greater than or equal to the calculated average pixel value to obtain an enhanced image. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also provided.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for generating fused sensor data through metadata association. First sensor data captured by a first vehicle sensor and second sensor data captured by a second vehicle sensor are associated with first metadata and second metadata, respectively, to obtain labeled first sensor data and labeled second sensor data. A frame synchronization is performed between the first sensor data and the second sensor data to obtain a set of synchronized frames, where each synchronized frame includes a portion of the first sensor data and a corresponding portion of the second sensor data. For each frame in the set of synchronized frames, a metadata association algorithm is executed on the labeled first sensor data and the labeled second sensor data to generate fused sensor data that identifies associations between the first metadata and the second metadata.

Abstract: An information processing method, and a terminal and a computer-readable storage medium for processing information are provided. The information processing method includes: acquiring measurement data obtained by measuring a product area contained in a captured image; and notifying, a user of the terminal, of second information of at least one first product that is selected, based on the measurement data, from first information of a plurality of products stored in a storage device.

Abstract: In an object recognition apparatus, a storage unit stores a table in that a plurality of feature amounts are associated with each object having feature points of respective feature amounts. An object region detection unit detects object regions of a plurality of objects from an input image. A feature amount extraction unit extracts feature amounts of feature points from the input image. A refining unit refers to the table, and refines from all objects of recognition subjects to object candidates corresponding to the object regions based on feature amounts of feature points belonging to the object regions. A matching unit recognizes the plurality of objects by matching the feature points belonging to each of the object regions with feature points for each of the object candidates, and outputs a recognition result.

Abstract: Techniques are presented for generating semantic layers that are used to facilitate data analyses of subject datasets. The semantic layers are generated from data analysis configurations that characterize analysis environments pertaining to the subject datasets rather than from subject dataset metadata that is associated with the subject datasets. Data analysis attributes are extracted from configuration content objects that codify the data analysis configurations. A set of rules are accessed to facilitate mapping of the data analysis attributes to semantic model metadata that constitute the semantic layers. Some of the generated semantic layers comprise virtual data models. The virtual data models and/or recommendations associated with implementation of the semantic layers are presented to users. Certain portions of the semantic layers and/or the configuration content objects may be modified (e.g.

Abstract: There is provided an image processing apparatus, an image processing method, and a program that enable display of an advertisement in an appropriate region within a captured image. The image processing apparatus sets, on the basis of density of people in a predetermined region within a captured image, an advertisement display region for superimposition of an advertisement image on the captured image. The present technology is applicable to a television (TV) broadcast system.

Abstract: A system and method of mode selection face recognition with parallel CNNs are disclosed. The system includes a mode selection module, a parallel convolutional neural network module, a database module and an ID judgment module. The parallel convolutional neural network module includes several convolutional neural network units. The mode selection module can determine the facial characteristics of each facial image, and send each facial image to the convolutional nerve corresponding to its facial characteristics The results serve as a benchmark for the ID judgment module to compare and test other facial images. By using several convolutional neural network units for facial image training for different facial characteristics of the same person, the noise from other convolutional neural network units can be reduced and the similarity in the feature vector extraction stage can be improved. The resulting accuracy of face recognition will increase.

Abstract: Aspects of present disclosure relate to slide imaging. An exemplary system for imaging a slide includes at least an optical system, including an optical sensor; a slide port configured to hold a slide; and a first computing device configured to: capture, using the at least an optical system, a plurality of images of the slide, including a first image; automatically select an algorithm to apply to the first image; identify a control command as a function of the first image; and capture, using the at least an optical system, a second image of the plurality of images as a function of the control command.

Abstract: Disclosed are camera pose determination methods and apparatuses. The method includes determining first pixels in a current image and second pixels in a previous image, determining second pixel points with the preconfigured semantics in a previous image frame before the current image frame, the first pixel points corresponding to at least a portion of the second pixel points, determining an error between the first pixel points and the second pixel points, and a camera pose change value of the current image frame relative to the previous image frame based on the error, and determining a camera pose of the current image based on a camera pose of the previous image and the camera pose change. Related devices and storage media are also disclosed.

Abstract: Systems and techniques for updating floor plans for use by autonomous mobile devices. The techniques include accessing a first floor plan with associated spatial metadata. An updated occupancy map is received with additional geographic updates over the first floor plan. A transformation of the first floor plan is determined to match the new occupancy map. The spatial data and the first floor plan are transformed and the transformed spatial metadata is associated with the new occupancy map to form a second floor plan.

Abstract: Apparatus and methods for the non-uniform downsampling of captured panoramic images. In one embodiment, a computing device is disclosed that includes a processing apparatus and a non-transitory computer readable apparatus comprising a storage medium have one or more instructions stored thereon. The one or more instructions, when executed by the processing apparatus, being configured to: receive captured images, the captured images obtained using two or more image sensors; non-uniformly downsample the received captured images; and encode the non-uniformly downsampled images. In some variants, the non-uniformly downsampled images take into account a desired area of interest within the captured images. In some implementations, the computing device includes an image capture device. Methods and non-transitory computer readable apparatus are also disclosed.

Abstract: The current disclosure provides methods and systems for visualizing, comparing, and navigating through, labeled image sequences. In one example, a degree of variation between a plurality of labels for an image in a sequence of images may be encoded as a comparison metric, and the comparison metric for each image may be graphed as a function of image position in the sequence of images, thereby providing a contextually rich view of label variation as a function of progression through the sequence of images. Further, the encoded variation of image labels may be used to automatically flag inconsistently labeled images, wherein the flagged images may be highlighted in a graphical user interface presented to a user, pruned from a training dataset, or a loss associated with the flagged image may be scaled based on the encoded variation during training of a machine learning model.

Abstract: Techniques for tagging virtualized content are disclosed. In some embodiments, a modeled three-dimensional scene of objects representing abstracted source content is generated and analyzed to determine a contextual characteristic of the scene that is based on a plurality of objects comprising the scene. The modeled scene is tagged with a tag specifying the determined contextual characteristic.

Abstract: A method for monitoring a surveillance area includes receiving a plurality of video streams that are captured by a plurality of video cameras in the surveillance area, each of the plurality of video streams capturing one or more objects in the surveillance area that are within a camera field of view (FOV) of the corresponding video camera and from a camera vantage point of the corresponding video camera. A vantage point transformation is applied to each of two or more objects captured in two or more of the plurality of video streams, the vantage point transformation transforming a view of each of the two or more objects from the camera vantage point of the corresponding video camera to a common vantage point. The transformed view of each of the two or more objects from the common vantage point is rendered on a display.

Abstract: Embodiments of the present invention are a high dynamic range (HDR) synthesis method and apparatus, an image processing chip and an aerial camera. The method includes: acquiring a plurality of to-be-synthesized images having different exposure time; calculating a mean brightness of the to-be-synthesized images; determining an image brightness type of the to-be-synthesized images according to the mean brightness; calculating a brightness difference between adjacent pixel points in one to-be-synthesized image; calculating an inter-frame difference of different to-be-synthesized images at a same pixel point position according to the brightness difference; determining a motion state of the to-be-synthesized images at the pixel point position according to the inter-frame difference; and weighting and synthesizing the to-be-synthesized images into a corresponding HDR image according to the image brightness type and the motion state.

Abstract: An image processing system for generating a display for a vehicle. The image processing system receives images, respectively, from a plurality of cameras mounted on the vehicle. The field of view of the plurality of cameras at least partially overlaps. The field of view of one or more of the plurality of cameras includes a region underneath the vehicle. The images are transformed to a common reference plane using a perspective transformation algorithm and based on intrinsic and extrinsic parameters of the plurality of cameras, to thereby obtain a projected image. The projected image is projected to the common reference plane. A display is generated based on the projected image. The display includes a synthetic depiction of the vehicle including an outer profile. The display includes an image area within the outer profile that is based on the projected image for the region underneath the vehicle.

Abstract: The invention discloses a Trace Microanalysis Microscope System for high throughput screening. A multimodal imaging sensor arrangement acquires color, multispectral, hyperspectral and multi-directional polarized imaging, independently and in combinations thereof. In one aspect of this disclosure, the multimodal acquisition is combined with a plurality of sample illumination modes, further expanding the dimensionality of the generated data. In another aspect of this invention, machine learning-based methods combining and comparing a-priori data with the acquired multimodal data space, provide unique identifiers for the composition of the analyzed target objects. In yet another aspect of this invention, projection mapping of the identified compositional features navigates secondary sampling for subsequent analyses.

Abstract: The present disclosure relates to methods and apparatuses for processing an image, training an image recognition network and recognizing an image. The method of processing an image includes: obtaining a plurality of original images from an original image set, where at least one of the plurality of original images includes an annotation area; obtaining at least one first image by splicing the plurality of original images; for each of the at least one first image, adjusting a shape and/or size of the first image based on the plurality of original images to form a second image; obtaining respective positions of the at least one annotation area in the second image by converting respective positions of the at least one annotation area in the plurality of original images.

Abstract: A method of controlling a mobile work machine includes receiving an image of spectral response at an area of terrain corresponding to a path of the mobile work machine, generating an image distance metric based on a distance between the spectral response and a base spectral response model corresponding to the terrain, comparing the image distance metric to a distance threshold, and controlling a controllable subsystem of the mobile work machine based on the comparison.

Abstract: A computer-implemented method includes obtaining an image of an area of a property from an augmented reality device, identifying the area of the property based on the image obtained from the augmented reality device, determining that the area of the property corresponds to an event at the property or a configuration of a monitoring system of the property, and providing, in response to determining that the area of the property corresponds to the event or the configuration, information that represents the event or the configuration and that is configured to be displayed on the augmented reality device.

Abstract: Certain aspects of the present disclosure provide a method for performing parallel data processing, including: receiving data for parallel processing from a data processing requestor; generating a plurality of data sub-blocks; determining a plurality of data portions in each data sub-block of the plurality of data sub-blocks; changing an order of the plurality of data portions in at least one data sub-block of the plurality of data sub-blocks; providing the plurality of data sub-blocks, including the at least one data sub-block comprising the changed order of the plurality of data portions, to a plurality of processing units for parallel processing; and receiving processed data associated with the plurality of data sub-blocks from the plurality of processing units.

Abstract: Apparatus and methods for the stitch zone calculation of a generated projection of a spherical image. In one embodiment, a non-transitory computer-readable apparatus comprising a storage apparatus, the storage apparatus comprising instructions configured to, when executed by a processor apparatus, cause a computerized apparatus to identify a stitch line associated with an equatorial area of a plurality of spherical images; re-orient the plurality of spherical images in accordance with the stitch line; and project the re-oriented plurality of spherical images to a selected image projection type.

Abstract: A wrinkle detection method includes: obtaining an original image, where the original image includes a face; adjusting a size of an ROI region on the original image to obtain at least two ROI images of different sizes, where the ROI region is a region in which a wrinkle on the face is located. A terminal device processes all the at least two ROI images of different sizes to obtain at least two binary images, where a white region in each binary image is a region in which a wrinkle is suspected to appear. The terminal device fuses the at least two binary images to obtain a final image, where a white region on the final image is recognized as a wrinkle.

Abstract: A system for merging a plurality of image sources into a single image stream defines a predistortion image mask for each source. Each mask defines a distorted image space to account for distortion in the display optics, and indicates a region or regions in the desired output image where one merge method should be used versus another (e.g., overlay vs. replace). Each source mask may have a separate level of granularity according to the requirements of the included image and corresponding distortion.

Abstract: Methods and systems for generating new product images are disclosed. In one aspect, a method includes identifying, via hardware processing circuitry, a template for a category of products, the template defining locations of attributes of products belonging to the category, identifying, via the hardware processing circuitry, common attributes of products of the category based on the template, averaging, via the hardware processing circuitry, corresponding pixel values across images representing the products having the common attributes, generating, via the hardware processing circuitry, a new product image representing a new product based on the averaged pixel values; and generating, via the hardware processing circuitry, a modified new product image by varying attributes of the new product based on the locations of the attributes defined by the template.

Abstract: Provided are an image fusion method and apparatus, and a portable terminal. The method comprises: obtaining several aligned images; respectively calculating gradient information of each image; setting a mask image of each image, and generating a target gradient image; performing a gradient operation on the target gradient image, and obtaining a target Laplacian image; performing a deconvolution transform on the Laplacian image, and generating a fused panoramic image. The technical solution generates a Laplacian image by performing gradient information calculations on several images, and then performs a deconvolution transform to generate a fused panoramic image, thereby eliminating image stitching color differences, and implementing a better image fusion effect.