Abstract: A system and method for camera-based stress determination. The method includes: determining a plurality of regions-of-interest (ROIs) of a body part; determining a set of bitplanes in a captured image sequence for each ROI that represent HC changes using a trained machine learning model, the machine learning model trained with a hemoglobin concentration (HC) changes training set, the HC changes training set trained using bitplanes from previously captured image sequences of other human individuals as input and received cardiovascular data as targets; determining an HC change signal for each of the ROIs based on changes in the set of determined bitplanes; for each ROI, determining intervals between heartbeats based on peaks in the HC change signal; determining heart rate variability using the intervals between heartbeats; determining a stress level using at least one determination of a standard deviation of the heart rate variability; and outputting the stress level.

Abstract: Methods, apparatus, systems and articles of manufacture to extend a timestamp range supported by a watermark without breaking backwards compatibility are disclosed. An example watermark encoder includes a counter to increment symbols of a watermark timestamp and a controller to control the counter to increment the symbols of the watermark timestamp based on a key, the controller to cause the counter to restrict ones of the symbol values to increment over one of a first range of symbol values or a second range of symbol values based on a value of the key, the second range of symbol values different from the first range of symbol values.

Abstract: Provided is an information processing apparatus comprising: a first obtaining unit configured to obtain viewpoint information indicating change of a virtual viewpoint corresponding to a virtual viewpoint video generated on the basis of a plurality of images captured from a plurality of directions with a plurality of image capturing apparatuses; a second obtaining unit configured to obtain condition information indicating a condition associated with the amount of change of a background in the virtual viewpoint video; a determination unit configured to determine whether the viewpoint information obtained by the first obtaining unit satisfies the condition indicated by the condition information obtained by the second obtaining unit; and an output unit configured to output information according to the result of the determination by the determination unit.

Abstract: An apparatus includes an acquisition unit configured to acquire target data, a determination unit configured to determine whether the target data has material appearance information of an object, and a control unit configured to display, on a display unit, an image corresponding to the target data based on a result of the determination by the determination unit, wherein, in a case where the target data has the material appearance information of the object, the control unit displays a moving image or consecutive still images, which includes a plurality of images under different viewing conditions, corresponding to the target data.

Abstract: System and techniques for computer vision assisted item search are described herein. A composite image, including visual data and depth data, may be obtained. The composite image may be filtered to isolate a clothing article represented in the composite image. A classifier may be applied to the depth data to produce a set of clothing attributes for the clothing article. The clothing attributes may then be provided to a remote device.

Abstract: A package measuring apparatus includes a depth sensor, the package having a rectangular parallelepiped shape and placed on a mounting table, and at least one processor. The processor obtains spatial coordinates of four vertices within a space in which the center of the depth sensor is set as the point of origin based on data of a distance from the depth sensor to each of the four vertices and data of a position of each sensor element of the depth sensor corresponding to each of the four vertices. The processor calculates, based on the spatial coordinates of the four vertices, a length of each of three sides defined between a first vertex and three other vertices.

Abstract: Clinical assessment devices, systems, and methods are provided. A clinical assessment system, comprising a processor in communication with an imaging device, wherein the processor is configured to receive, from the imaging device, a sequence of image frames representative of a contrast agent perfused subjects tissue across a time period; classify the sequence of image frames into a plurality of first tissue classes and a plurality of second tissue classes based on a spatiotemporal correlation among the sequence of image frames by applying a predictive network to the sequence of image frames to produce a probability distribution for the plurality of first tissue classes and the plurality of second tissue classes; and output, to a display in communication with the processor, the probability distribution for the plurality of first tissue classes and the plurality of second tissue classes.

Abstract: An image processing apparatus acquires a first image which captures a scene including an object from a first viewpoint position and a second image which captures a scene including the object from a second viewpoint position, and associates a coordinate position corresponding to a position of a feature of the object on the first image with a coordinate position corresponding to a position of a feature of the object on the second image. The image processing apparatus determines a partial region in the second image corresponding to a give region in the first image based on the association, generates a synthesized image by replacing an image of the given region using an image of the determined partial region, and superimposing variation data on the synthesized image.

Abstract: A high-speed optical tracking with compression and CMOS windowing for tracking applications that require high-speed and/or low latency when delivering pose (orientation and position) data. The high-speed optical tracking with compression and CMOS windowing generally includes an optical tracking system (10) that sense fiducial (22) and by extension markers (20). The markers can either be integrated on tools (20) handled by an operator (e.g. surgeon) (50) or fixed on the subject to track (e.g. patient) (40). The low-level processing (101, 107, 140) is realized within the tracking system to reduce the overall data to be transferred and considerably reduce the processing efforts. Pose data (127) are finally computed and transferred to a PC/monitor (30,31) or to tablet (60) to be used by an end-user application (130).

Abstract: An image compression camera module, an image processing system, and a method of compressing each of a plurality of pixel groups forming image data are provided. The method includes detecting a bad pixel among a plurality of pixels in a pixel group, generating a flag indicating position information about the bad pixel, calculating a first difference between a pixel value of a pixel among the plurality of pixels excluding the bad pixel and a reference pixel value, and generating a bitstream including the flag and the first difference.

Abstract: Disclosed are systems, devices, and methods for detecting a trachea, an exemplary system comprising an imaging device configured to obtain image data and a computing device configured to generate a three-dimensional (3D) model, identify a potential connected component in a first slice image, identify a potential connected component in a second slice image, label the first slice image as a top slice image, label the connected component in the top slice image as an active object, associate each connected component in a current slice image with a corresponding connected component in a previous slice image based on a connectivity criterion, label each connected component in the current slice image associated with a connected component of the preceding slice image as the active object, and identify the active object as the trachea, based on a length of the active object.

Abstract: Measuring speed of a vehicle in a road environment. During calibration, multiple images are captured of a calibration vehicle traveling at a known ground speed. A calibration image feature is located in the image of the calibration vehicle. An optical flow of the calibration image feature is computed to determine a model between an image speed of the calibration image feature and the known ground speed of the calibration vehicle. During speed measurement, multiple images are captured of a target vehicle traveling along a road surface at unknown ground speed. A target image feature may be located in an image of the target vehicle. An image speed may be computed of the target image feature. The model may be applied to determine the ground speed of the target vehicle from the image speed of the target image feature.

Abstract: The present invention generally relates to the field of automated and flexible information extraction and protection for graphical data. In particular, the invention provides a unique platform for analyzing, classifying, extracting, and processing information from images using deep learning image detection models. Embodiments of the inventions are configured to provide an end to end automated solution for intelligently hiding or obscuring private data from graphical displays via the use of embedded steganographic image data techniques.

Abstract: The present disclosure provides a system and method for CT image reconstruction. The method may include combining an analytic image reconstruction technique with an iterative reconstruction algorithm of CT images. The image reconstruction may be performed on or near a region of interest.

Abstract: In acquisition of spatial transcriptomic information, a plurality of images representing a common field of view of a sample are obtained and registered. Each pixel of the registered images is decoded by identifying a code word from a plurality of code words in a code book that provides a best match to data values in the plurality of registered images for the pixel. For each code word identified as a best match and each pixel, whether a bit ratio for an image word for the pixel meets a threshold for the code word is determined. The image word is formed from the data values in the plurality of registered images for the pixel. For at least one pixel that is determined to meet the threshold, a gene associated with the code word is determined. Pixels for which the bit ratio does not meet the threshold are screened.

Abstract: A method of compensating misalignment during manufacturing laminate-type component carriers is disclosed. The method includes detecting an image of a region of interest of a component carrier structure during manufacturing the component carriers based on the component carrier structure, identifying a structural feature in the image of the region of interest showing misalignment with respect to a target design, and at least partially compensating the identified misalignment of the structural feature by modifying the target design of at least one correlated structural feature to be manufactured subsequently, wherein the at least one correlated structural feature is correlated to said structural feature showing misalignment.

Abstract: A waste collecting device includes an inlet unit, an acquisition unit configured to acquire waste information on waste thrown into the inlet unit, and a control unit configured to specify a category of the waste based on the waste information, determine whether the category of the waste matches a predetermined category, and output a determination result via an output unit.

Abstract: To achieve a video processing apparatus, a video processing method, and a video processing program capable of relatively accurately estimating, from a moving image, a motion of a camera that has captured the moving image, and reducing a calculation load, a video processing apparatus (100) according to the present disclosure includes a spatial frequency filter unit (10) configured to extract a low spatial frequency component of a moving image, and an angular velocity calculation unit (70) configured to calculate angular velocity of a camera that has captured the moving image, based on the moving image that has been passed through the spatial frequency filter unit (10).

Abstract: Information may be visually encoded within visual content of an image using a distortion projection. The distortion projection may cause stretching of a visual element defined within a pixel array of the image. Information may be visually encoded within the pixel array using visual characteristic(s) of the pixel array. Presentation of the visual content based on a non-distortion projection may reduce a number of pixels that defines the visual element within the pixel array and may reduce visual impact of the information visually encoded within the pixel array.

Abstract: A method for assessing a camera calibration, in which a first quality measure is ascertained. A statistical error is assessed using the first quality measure. An expected value for a mapping error is ascertained. Optimal model parameters and their covariance matrix initially are accessed. A matrix of a mapping error is then determined. Finally, the expected value of the mapping error is ascertained.