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: In one example, a distance sensor includes a camera to capture images of a field of view, a plurality of light sources arranged around a lens of the camera, wherein each light source of the plurality of light sources is configured to project a plurality of beams of light into the field of view, and wherein the plurality of beams of light creates a pattern of projection artifacts in the field of view that is visible to a detector of the camera, a baffle attached to a first light source of the plurality of light sources, wherein the baffle is positioned to limit a fan angle of a plurality of beams of light that is projected by the first light source, and a processing system to calculate a distance from the distance sensor to an object in the field of view, based on an analysis of the images.

Abstract: According to a first aspect, the present disclosure relates to a digital holography device (100) for full-field blood flow imaging of ocular vessels of a field of view of a layer (11) of the eye (10). The device comprises an optical source (101) configured for the generation of an illuminating beam (Eobj) and a reference beam (ELO), and a detector (135) configured to acquire a plurality of interferograms (I(x,y,t)) wherein an interferogram is defined as the signal resulting from the interference between the said reference beam (ELO) and a part of said illuminating beam (Eobj) that is backscattered from said layer (11).

Abstract: A computing system is configured to train an object classifier. Monocular image data and ground-truth data are received for a scene. Geometric context is determined including a three-dimensional camera position relative to a fixed plane. Regions of interest (RoI) and a set of potential occluders are identified within the image data. For each potential occluder, an occlusion zone is projected onto the fixed plane in three-dimensions. A set of occluded RoIs on the fixed plane are generated for each occlusion zone. Each occluded RoI is projected back to the image data in two-dimensions. The classifier is trained by minimizing a loss function generated by inputting information regarding the RoIs and the occluded RoIs into the classifier, and by minimizing location errors of each RoI and each occluded RoI of the set on the fixed plane based on the ground-truth data. The trained classifier is then output for object detection.

Abstract: In one example, a method for inserting a digital watermark in a signal includes obtaining the signal comprising a plurality of frames, inserting a first digital watermark in a first frame of the plurality of frames, inserting a second digital watermark in a second frame of the plurality of frames, wherein the second digital watermark differs from the first digital watermark in at least one way selected from a group of: a location within a respective frame, a number of bits, a pattern of bits, and a number of bits of a noise, and outputting a watermarked signal including the first digital watermark in the first frame and the second digital watermark in the second frame.

Abstract: The present disclosure is directed to a system for calibrating cameras with a fixed focal point. In particular, a camera calibration system comprising one or more computing devices can project a plurality of fiducial markers on a target surface using the plurality of collimators. The camera calibration system can capture, using the camera, a plurality of images of the target surface with the camera, wherein the camera is rotated between each captured image in the plurality of images. The camera calibration system can compare the plurality of images with a ground truth projection. The camera calibration system can generate calibration data based on the comparison of the plurality of images with the ground truth projection. The camera calibration system can store the calibration data for use in rectifying the camera.

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: An apparatus for producing a fundus image includes: a processor and a memory; an illumination component including a light source and operatively coupled to the processor; a camera including a lens and operatively coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the apparatus to capture fundus images and provide controls for re-imaging the fundus.

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: This disclosure relates to an X-ray system for obtaining referencing information in the form of a coordinate transformation between a first volume and a second volume, with the volumes partially overlapping. In this case two partially overlapping subareas of an extended object having a continuous distribution of a physical size are discretely sampled with a measuring apparatus; the volumes are reconstructed and the overlapping volumes are iteratively changed, wherein a bandpass filter is applied to the overlapping volumes, where said bandpass filter changes the Fourier domain representation of the overlapping volumes. The filtered overlapping volumes, in which the artifacts, induced by the discrete sampling, are matched, are compared by means of a measure of similarity, which is iteratively maximized by means of mathematical optimization.

Abstract: A greenhouse information automatic monitoring method, adopting a multi-sensor system, using binocular vision multi-function cameras combining with a laser ranging sensor and an infrared temperature measuring sensor, realizing online patrol monitoring of greenhouse crop comprehensive information of image and infrared temperature characteristics of plant nutrition, water, pest and disease damage as well as plant crown width, plant height, fruit and growth characteristics. The multi-sensor system is mounted on a suspension slide platform and combines with a lifting mechanism and an electric control rotation pan-tilt, such that not only accurate positioning and stationary point detection in the detection travelling direction can be realized, but also multi-sensor information patrol detection at different detection distances, different top view fields and different detection angles is realized.

Abstract: A camera positioning method, device and medium are provided. The method includes: determining positioning configuration information; determining, according to the positioning configuration information, positioning information of the camera by a preset algorithm, the positioning information including distance limitation data which defines a distance between a target and the camera; and determining a position of the camera according to the positioning information, wherein the positioning configuration information includes target data, ratio data of a target image in an image captured by the camera, and camera parameter data.

Abstract: Embodiments disclose a method and system for segmenting medical images. In certain embodiments, the system comprises a database configured to store a plurality of medical images acquired by an image acquisition device. The plurality of images include at least one first medical image of an object, and a second medical image of the object, each first medical image associated with a first structure label map. The system further comprises a processor that is configured to register the at least one first medical image to the second medical image, determine a classifier model using the registered first medical image and the corresponding first structure label map, and determine a second structure label map associated with the second medical image using the classifier model.

Abstract: According to one embodiment, a reading system includes an extractor, a generator, a corrector, and a reader. The extractor extracts a first candidate region from an input image. The first candidate region is of a candidate of a region in which a meter is imaged. The generator generates a rectangle around the first candidate region when an exterior form of the first candidate region is circular. The rectangle corresponds to the exterior form of the first candidate region. The corrector generates a second candidate region by using the generated rectangle to correct the exterior form of the first candidate region to approach a perfect circle. The reader reads, from the second candidate region, a numerical value indicated by the meter.

Abstract: Disclosed are herein a three-dimensional (3D) object acquisition method and an object acquisition apparatus using artificial light photographs. A 3D object acquisition method according to an embodiment of the present invention includes receiving a plurality of images of a 3D object photographed by a camera, reconstructing spatially-varying bidirectional reflectance distribution functions for the 3D object based on the plurality of images received, estimating shading normals for the 3D object based on the reconstructed spatially-varying bidirectional reflectance distribution functions, and acquiring 3D geometry for the 3D object based on the estimated shading normals.

Abstract: A system and method used to image cylindrical fluid conduits, such as pipes, wellbores and tubulars, with ultrasound transducers then process the ultrasound images to detect edges and surfaces. The device and method compute monotonic paths through high energy pixels. Functions are used for dropping, extending and selecting an optimal path based on certain criteria, such as path length, path continuity and path energy. The selected path may be used to model and visualize the tubular along with key features, components and defects in 2D and 3D.

Abstract: Technology is described for methods and systems for imaging an object (110). The method can include an image sensor (116) exposed to light (114) from an object (110) without passing the light through an image modification element. Light intensity of the light (114) can be stored as data in a medium. The image data can be analyzed at a processor (902) as a reconstructed image of the object (110).

Abstract: A method and system for calibrating a lens. The method includes defining a plurality of omni-symmetrical regions within the lens, determining one or more localized lens parameters associated with each of the plurality of omni-symmetrical regions, and defining a localized set of calibration parameters for each of the plurality of omni-symmetrical region. The localized set of calibration parameters may then be employed in a computational image application.

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: 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).