Abstract: An information processing system (10) comprises: a distance acquisition unit (110) that specifies an iris area containing an iris of a target from a visible-light image of the target, and acquires an iris distance that is a distance to the iris area; an iris image acquisition unit (120) that acquires an iris image of the target by changing a focal length according to the iris distance; a score computing unit (130) that calculates a score relating to deviation of a focus in the iris image, based on the iris image; and a correlation update unit (140) that updates correlation between the iris distance and the focal length at a moment of acquisition of the iris image, based on the score. According to such an information processing system, since the correlation is updated with good accuracy, it is possible to acquire the appropriate iris image.

Abstract: Various factors may cause an error between the shape of a workpiece machined by an industrial machine and the target shape of the workpiece. An image analysis device includes a first image generating section that generates first image data indicating a first distribution of locations on a workpiece of an error between a shape of the workpiece machined by an industrial machine and a pre-prepared target shape of the workpiece; a second image generating section that generates second image data indicating a second distribution of locations on the workpiece of an error between a command transmitted to the industrial machine for machining the workpiece and feedback from the industrial machine corresponding to the command; and a correlation acquisition section that obtains a correlation between the first distribution and the second distribution, based on the first image data and the second image data.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire a read image obtained by reading a printed document, and a determination unit configured to determine presence or absence of a streak included in the read image, by tracking a contour of the printed document from each of a plurality of points that are both end points of the read image in a direction orthogonal to a reading direction of the read image.

Abstract: A camera pose information detection method, includes collecting a plurality of images by means of a multi-lens camera, and determining a road surface region image based on the plurality of images; and projecting points in the road surface region image onto a camera coordinate system, so as to obtain camera pose information.

Abstract: An information processing device of the present invention includes a detection means that detects the content of an image, a determination means that determines a processing mode for the image based on the result of detection of the content of the image, and an execution means that executes processing for a captured image corresponding to the processing mode.

Abstract: Embodiments identify joints of a multi-limb body in an image. One such embodiment unifies depth of a plurality of multi-scale feature maps generated from an image of a multi-limb body to create a plurality of feature maps each having a same depth. In turn, for each of the plurality of feature maps having the same depth, an initial indication of one or more joints in the image is generated. The one or more joints are located at an interconnection of a limb to the multi-limb body or at an interconnection of a limb to another limb. To continue, a final indication of the one or more joints in the image is generated using each generated initial indication of the one or more joints.

Abstract: Ping-based imaging systems may be used for tracking motion of hard or soft objects within an imaged medium. Motion detection and motion tracking may be performed by defining fingerprint points and tracking the position of each fingerprint point based on the echoes of multiple transmitted pings.

Abstract: Methods, systems, and apparatus for processing of three-dimensional visual content are described. One example method of processing three-dimensional content includes parsing a level of detail (LoD) information of a bitstream containing three-dimensional (3D) content that is represented as one geometry sub-bitstream and one or more attribute sub-bitstreams; and generating, based on the LoD information, decoded information by decoding at least a portion of the geometry sub-bitstream and the one or more attribute sub-bitstreams corresponding to a desired level of detail; and reconstructing, using the decoded information, a three-dimensional scene corresponding at least to the desired level of detail. The bitstream conforms to a format organized according to multiple levels of details of the 3D content.

Abstract: An example method to characterize an anomaly includes obtaining information about an item using a first mode scan and detecting whether the item contains an anomaly based on the information. The method further includes determining, responsive to detecting the anomaly, an area of interest of the item corresponding to a location of the anomaly, and determining a strategy including a procedure to obtain other information of the area of interest. The method refines a characterization of the anomaly based on the other information, and compares the characterization of the anomaly to a predetermined criterion. The method iteratively revises the strategy to perform additional available procedures, to further refine the characterization of the anomaly. When the characterization of the anomaly meets the predetermined criterion corresponding to a prohibited item, the method identifies the anomaly as prohibited.

Abstract: Systems, methods and non-transitory computer readable media for propagating changes from one visual content to other visual contents are provided. A plurality of visual contents may be accessed. A first visual content and a modified version of the first visual content may be accessed. The first visual content and the modified version of the first visual content may be analyzed to determine a manipulation for the plurality of visual contents. The determined manipulation may be used to generate a manipulated visual content for each visual content of the plurality of visual contents. The generated manipulated visual contents may be provided.

Abstract: A method and a device for encoding/decoding an image according to the present invention may determine a reference region for intra prediction of a current block, derive an intra prediction mode of the current block on the basis of a predetermined MPM candidate group, and perform intra prediction on the current block on the basis of the reference region and the intra prediction mode.

Abstract: The present disclosure provides a pedestrian tracking method including: acquiring at least one piece of first video data and at least one piece of second video data; performing facial recognition on at least some first images of the first image frames to obtain tracking data of a first pedestrian including position information thereof at N moments; performing human body detection on at least some second images of the second image frames to obtain tracking data of a second pedestrian including a movement track thereof; determining tracking data of a target pedestrian when deviation between the position information of the first pedestrian at the N moments and the position information of the movement track of the second pedestrian at the same moments is within a preset range. The present disclosure also relates to a pedestrian tracking apparatus, a computing device, a pedestrian tracking system, and a computer-readable storage medium.

Abstract: A method and a computational module are provided for carrying out a quantization process of a plurality of channels carrying data received from an image capturing sensor. The computational module comprises: at least one array of processors, configured to a) retrieve data from: a1) a neural network graph, a2) a dataset associated with a data and a3) parameters' values of a neural network model; b) carry out a dynamic range calibration process for the channels received and using the neural network graph for deriving grouping constrains associated with respective channels; c) carry out a grouping optimization based on results obtained for each channel from its respective dynamic range calibration and its grouping constrains; d) arrange the channels so that channels having similar grouping constrains are grouped together into one output channel; and e) calculate required quantization parameters for carrying out a quantization process of the output channels.

Abstract: A spatial recognition device has a spatial recognition unit for generating spatial data by recognizing a three-dimensional shape in a real space, and a self-location estimating unit for estimating the self-location in real space. A spatial data unification unit unifies the spatial data and spatial data generated by another spatial recognition device to generate unified spatial data that is expressed in the same coordinate system having the same origin. A self-location sharing unit transmits the self-location based on the unified spatial data, to another spatial recognition device. The self-location sharing unit acquires the self-location from another spatial recognition device) when the self-location estimating unit cannot estimate the self-location.

Abstract: Alpha channel post processing in image coding can include decoding, from multiple color channels of a bitstream, color channel values for an encoded image, decoding, from an alpha channel of the bitstream, alpha channel values for the encoded image, determining a bilateral filter based on a level of compression for encoding the alpha channel, post processing the alpha channel values by filtering the alpha channel values using the bilateral filter to obtain filtered alpha channel values, and generating at least a portion of a reconstructed image corresponding to the encoded image using the filtered alpha channel values and the color channel values.

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: Disclosed are a partitioning method, an encoder, a decoder and a computer storage medium. The method includes: determining location information of a point of a point cloud to be partitioned; when i is less than or equal to M?1, determining right-shift number Ni of ith LOD layer in the point cloud, M representing a preset maximum quantity of layers for LOD partitioning; for the ith LOD layer, shifting location information of the point rightwards by Ni-digit, performing storing in a preset storage area based on right-shifted location information; determining location information of a parent point corresponding to a current point in the ith LOD layer; according to determined location information of the parent point, searching the preset storage area for a neighbor point of the parent point; partitioning the current point into an (i+1)th LOD layer, or the neighbor point into the ith LOD layer.

Abstract: A system and method for generating data suitable for determining one or more parameters of at least one eye of a subject. The method includes receiving image data of an eye at a first time from a camera of known camera intrinsics and defining an image plane. A first ellipse in the image data is determined. The method includes determining a first eye intersecting line in 3D expected to intersect a 3D center of the eyeball at the first time as a line which is, in the direction of the orientation vector, parallel-shifted to the first center line by an expected distance between the center of the eyeball and a center of the pupil.

Abstract: This invention provides a system and method for finding patterns in images that incorporates neural net classifiers. A pattern finding tool is coupled with a classifier that can be run before or after the tool to have labeled pattern results with sub-pixel accuracy. In the case of a pattern finding tool that can detect multiple templates, its performance is improved when a neural net classifier informs the pattern finding tool to work only on a subset of the originally trained templates. Similarly, in the case of a pattern finding tool that initially detects a pattern, a neural network classifier can then determine whether it has found the correct pattern. The neural network can also reconstruct/clean-up an imaged shape, and/or to eliminate pixels less relevant to the shape of interest, therefore reducing the search time, as well significantly increasing the chance of lock on the correct shapes.

Abstract: When it is assumed that a large-scale Deep Neural Network for autonomous driving applied compression, there are problems of a decrease in recognition accuracy of a post-compression Neural Network (NN) model and an increase in a compression design period, due to a large number of harmful or unnecessary training images (invalid training images). A training image selection unit B100 calculates an influence value on an inference, and generates an indexed training image set 1004-1 necessary for an NN compression design, by using the influence value. A neural network compression unit P200 notified of the result via a memory P300 compresses the NN.