Abstract: The present disclosure provides a gesture recognition method as well as a terminal device and a computer-readable storage medium using the same. The method includes: obtaining a video stream collected by an image recording device in real time; performing a hand recognition on the video stream to determine static gesture information of a recognized hand in each video frame of the video stream; encoding the static gesture information in the video frames of the video stream in sequence to obtain an encoded information sequence of the recognized hands; and performing a slide detection on the encoded information sequence using a preset sliding window to determine a dynamic gesture category of each recognized hand. In this manner, static gesture recognition and dynamic gesture recognition are effectively integrated in the same process. The dynamic gesture recognition is realized through the slide detection of the sliding window without complex network calculations.

Abstract: A face recognition device and a face recognition method are provided. The face recognition device includes a camera module, a processor and a memory. The camera module obtains a first image of a recognition target and obtains a second image of the recognition target. The processor analyzes whether the first image meets an image condition to determine whether the recognition target is a real face. The memory stores a face database. When the processor determines that the first image meets the image condition, the processor analyzes a plurality of facial features in the second image, and the processor compares whether the second image matches face registration data in the face database according to the facial features to determine whether the second image passes recognition.

Abstract: Automated methods and systems for feature extraction are disclosed, including automated methods performed by at least one processor running computer executable instructions stored on at least one non-transitory computer readable medium, comprising determining and isolating an object of interest within a point cloud; forming a modified point cloud having one or more data points with first location coordinates of the object of interest; and generating a boundary outline having second location coordinates of the object of interest using spectral analysis of at least one section of at least one image identified with the first location coordinates and depicting the object of interest.

Abstract: A fry assessment system (10) is disclosed and includes an image analyzer (12). The image analyzer (12) includes both a fry identification module (90) and a fry scoring module (100). A color image (70) is analyzed by the fry identification module (90) to identify all fries in the color image (70). Thereafter, the fry scoring module (100) determines a score for each identified fry in the color image (70). These determined scores may be used for any appropriate purpose, for instance for purposes of determining a selling price for associated potatoes, to monitor a condition of associated potatoes in a common storage area, or the like.

Abstract: This disclosure describes a device and system for verifying the content of items in a bin within a materials handling facility. In some implementations, a bin content verification apparatus may pass by one or more bins and capture images of those bins. The images may be processed to determine whether the content included in the bins has changed since the last time images of the bins were captured. A determination may also be made as to whether a change to the bin content was expected and, if so, if the determined change corresponds with the expected change.

Abstract: Implementations provide for automated detection of a calibration object within a recorded image. In some implementations, a system receives an original image from a camera, wherein the original image includes at least a portion of a calibration chart. The system further derives a working image from the original image. The system further determines regions in the working image, wherein the regions include groups of pixels having values within a predetermined criterion. The system further analyzes two or more of the regions to identify a candidate calibration chart in the working image. The system further identifies at least one region within the candidate calibration chart as a patch, where the identifying of the at least one region is based on a color of the patch. The system further predicts a location of one or more additional patches based on at least the identified patch.

Abstract: Methods and systems in accordance with the present invention automatically subdivide an area having an arbitrary shape into multiple sub-regions that have approximately equal area under a threshold, with compact shapes having minimal perimeter length. These systems input an arbitrarily shaped zone and recursively bisect it until all of the new sub-zones are smaller than a particular threshold. A data processing system subdivides a two-dimensional region, such as a digital image of a landmass. The data processing system loads the region into memory, determines a minor axis of the region, and splits the region along the minor axis into a first sub-region and a second sub-region. The sub-regions are evaluated to determine if they are under the threshold area. The steps of the process are repeated until all resulting sub-regions are under the threshold area. Consistently compact sub-regions with minimal perimeter are achieved by splitting along the minor axis.

Abstract: A system for processing encoded image components for artificial intelligence tasks. The system can include one or more compute units, one or more controllers and memory. The one or more controllers can include one or more micro-op schedulers and one or more channel switches. The one or more compute units can be configured to process components of the transformed domain image data according to one or more micro-operations for an artificial intelligence task. The one or more channel switches can be configured to selectively control the transfer of the components of transformed domain image data to the one or more compute units based on one or more gating flags. The one or more channel switches can also be configured to selectively control generation of the one or more micro-operations by the one or more micro-op schedulers based on the one or more gating flags.

Abstract: A system for manipulating a biological sample, and a method for operating such a system. The system includes an imaging device arranged to image a biological sample; a controller operably connected with the imaging device for processing the images obtained by the imaging device; and a tool manipulation device operably connected with the controller and arranged to be connected with a tool for manipulating the biological sample. The controller is arranged to control operation of the tool manipulation device based on the processing of the images.

Abstract: According to one embodiment, a medical image diagnostic apparatus includes a storage memory, processing circuitry, and a display. The storage memory stores data of a plurality of FFR distribution maps constituting a time series regarding a coronary artery, and data of a plurality of morphological images corresponding to the time series. The processing circuitry converts the plurality of FFR distribution maps into a plurality of corresponding color maps, respectively. The display displays a plurality of superposed images obtained by superposing the plurality of color maps and the plurality of morphological images respectively corresponding in phase to the plurality of color maps. The display restricts display targets for the plurality of color maps based on the plurality of FFR distribution maps or the plurality of morphological images.

Abstract: According to an embodiment, a device for detecting fog on a road comprises an imaging device installed to capture a two-way road and capturing a fog on the two-way road, a network configuring device provided under the imaging device and transmitting an image captured by the imaging device, a fog monitoring device receiving the image from the network configuring device, analyzing the image to thereby detect the fog, and outputting an alert per predetermined crisis level, and a display device displaying the alert output from the fog monitoring device and transmitting the alert via a wired or wireless network.

Abstract: The present disclosure is directed to extracting text from form-like documents. In particular, a computing system can obtain an image of a document that contains a plurality of portions of text. The computing system can extract one or more candidate text portions for each field type included in a target schema. The computing system can generate a respective input feature vector for each candidate for the field type. The computing system can generate a respective candidate embedding for the candidate text portion. The computing system can determine a respective score for each candidate text portion for the field type based at least in part on the respective candidate embedding for the candidate text portion. The computing system can assign one or more of the candidate text portions to the field type based on the respective scores.

Abstract: An image processing apparatus that tracks a target object by estimating a position of the target object on each of a plurality of images. A first estimating unit estimates the position of the target object in at least one of images. A second estimating unit estimates the position of the target object in at least one of images, wherein estimating accuracy of the position of the target object in the second estimating process is lower than the estimating accuracy in the first estimation process. A correcting unit corrects the position of the target object estimated by the second estimation process on a second image, based on the position of the target object estimated by the first estimation process on a first image. The second image is an image captured at a different time from the first image.

Abstract: A machine learning system is trained to determine scores indicative of a quality of video data based on the characteristics of the video data, without requiring information regarding the correct appearance or other aspects of the video content. To train the machine learning system, users input scores for videos having predetermined quality scores, videos that have been previously seen by the users, and videos that have not been previously seen by the users. The differences between a user's score and a predetermined score or a score previously input by the user are used to determine a consistency metric. The scores and consistency metrics determined for a group of users, and the video characteristics of the videos presented to the users, are used to train the machine learning system to determine scores indicative of the quality of a video based on the characteristics of the video.

Abstract: A method for recognizing persons in video streams includes obtaining a live video stream, detecting a first person in the live video stream, determining from analysis of the live video stream first information that identifies an attribute of the first person, determining based on at least some of the first information that the first person is not identifiable to the computing system, storing at least some of the first information, receiving a user classification of the first person as being a stranger, and deleting the stored first information.

Abstract: Apparatus for a motor vehicle comprises an image sensor generating non-trichromatic image data as an image pixel array covering a predetermined field of view relative to the vehicle. A color-calibration source generates at least one color reference value according to an object depicted in the non-trichromatic image data. A controller is configured to 1) associate the at least one color reference value to a set of pixels within the image pixel array, and 2) colorize the non-trichromatic image data according to the at least one color reference value to produce a colorized image. A display is configured to display the colorized image to a viewer in the vehicle.

Abstract: A method and system for acquiring, processing, storing, and displaying x-ray mammograms Mp tomosynthesis images Tr representative of breast slices, and x-ray tomosynthesis projection images Tp taken at different angles to a breast, where the Tr images are reconstructed from Tp images.

Abstract: An image processing device determining image adjustment parameters in real time so as to facilitate modifying the image adjustment parameters includes an image input device acquiring an original image signal and output a first image signal; a parameter adjustment device modifying image adjustment parameters; an image processing circuit receiving the first image signal and the image adjustment parameters and adjusting the first image signal according to the image adjustment parameters to output a second image signal; an information label circuit coupling to the image processing circuit and receiving the second image signal and internal information of the image processing circuit and labeling at least one part of the second image signal according to the internal information to generate a labeled output image; and an image output device coupling to the information label circuit and outputting the labeled output image having at least one label indicating the internal information.

Abstract: In an image processing apparatus, an image acquirer is configured to acquire a captured image from a camera mounted to a vehicle. A histogram generator is configured to generate a histogram representing a relationship between a luminance and a pixel count of the captured image. The pixel count is a number of pixels in the captured image. An image corrector is configured to generate a corrective tone-curve for correcting the relationship between the luminance and the pixel count of the captured image based on the histogram of the captured image, and correct the captured image using the corrective tone-curve to generate a corrected image. The corrective tone-curve is a tone-curve representing a relationship between input and output values of luminance.

Abstract: In one implementation, a method includes obtaining an image. The method includes correcting color aberration of the image comprising, for a particular pixel of the image by determining one or more chromatic characteristic values for the particular pixel, determining a likelihood that the particular pixel exhibits color aberration based on the one or more chromatic characteristic values for the particular pixel, generating a filtered version of the particular pixel by filtering the particular pixel using pixels in a neighborhood surrounding the particular pixel, and generating a color-corrected version of the particular pixel based on the likelihood that the particular pixel exhibits color aberration and the filtered version of the particular pixel.