Abstract: As set forth herein low energy signal data and high energy signal data can be acquired. A first material decomposed (MD) image of a first material basis and a second material decomposed (MD) image of a second material basis can be obtained using the low energy signal data and the high energy signal data. At least one of the first or second MD image can be input into a guide filter for output of at least one noise reduced and cross-contamination reduced image. A computed tomography (CT) imaging system can be provided that includes an X-ray source and a detector having a plurality of detector elements that detect X-ray beams emitted from the X-ray source. Low energy signal data and high energy signal data can be acquired using the detector.

Abstract: Embodiments relate to methods for efficiently encoding sensor data captured by an autonomous vehicle and building a high definition map using the encoded sensor data. The sensor data can be LiDAR data which is expressed as multiple image representations. Image representations that include important LiDAR data undergo a lossless compression while image representations that include LiDAR data that is more error-tolerant undergo a lossy compression. Therefore, the compressed sensor data can be transmitted to an online system for building a high definition map. When building a high definition map, entities, such as road signs and road lines, are constructed such that when encoded and compressed, the high definition map consumes less storage space. The positions of entities are expressed in relation to a reference centerline in the high definition map. Therefore, each position of an entity can be expressed in fewer numerical digits in comparison to conventional methods.

Abstract: A sensor system may comprise a sensor; a processor in electronic communication with the sensor; and/or a tangible, non-transitory memory configured to communicate with the processor, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations. The operations may comprise recording, by the sensor, a preliminary type data sample; and/or applying, by the processor, a mapping function having a plurality of tuned parameters to the preliminary type data sample, producing a desired type data output.

Abstract: A display panel and a display apparatus are provided. The display panel includes: an organic light emitting display panel including an array substrate and organic light emitting configurations disposed on the array substrate; a fingerprint identification module arranged in a display region and arranged at a side facing away from the organic light emitting configurations of the array substrate; an angle limiting film arranged between the organic light emitting display panel and the fingerprint identification module. The fingerprint identification module includes a first substrate, at least one fingerprint identification unit for performing fingerprint identification according to light rays reflected, through a touch body, on the fingerprint identification unit.

Abstract: A sensor system may comprise a sensor; a processor in electronic communication with the sensor; and/or a tangible, non-transitory memory configured to communicate with the processor, the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations. The operations may comprise recording, by the sensor, a low quality data sample; and/or applying, by the processor, a mapping function having a plurality of tuned parameters to the low quality data sample, producing a high quality data output.

Abstract: An optical tracking system comprises a marker part, an image forming part, and a processing part. The marker part includes a pattern having particular information and a first lens which is spaced apart from the pattern and has a first focal length. The image forming part includes a second lens having a second focal length and an image forming unit which is spaced apart from the second lens and forms an image of the pattern by the first lens and the second lens. The processing part determines the posture of the marker part from a coordinate conversion formula between a coordinate on the pattern surface of the pattern and a pixel coordinate on the image of the pattern, and tracks the marker part by using the determined posture of the marker part. Therefore, the present invention can accurately track a marker part by a simpler and easier method.

Abstract: A semiconductor device 1 includes an image input unit 11 and an image output unit 12. The image input unit 11 receives first image data from a camera 91 and outputs second image data to a memory unit 93 through a shared bus 130. The image output unit 12 receives the second image data stored in the memory unit 93 through the shared bus 130 and outputs third image data to a monitor 92. The third image data is generated by performing an affine-conversion on the first image data. Magnification processing in the affine-conversion is not performed in the image input unit 11. In this way, it is possible to provide an excellent semiconductor device suitable for image processing or the like.

Abstract: One embodiment of the present invention sets forth a technique for determining a location of an object that is being manipulated or processed by a robot. The technique includes capturing a digital image of the object while the object is disposed by the robot within an imaging space, wherein the digital image includes a direct view of the object and a reflected view of the object, detecting a visible feature of the object in the direct view and the visible feature of the object in the reflected view, and computing a first location of the visible feature in a first direction based on a position of the visible feature in the direct view. The technique further includes computing a second location of the visible feature in a second direction based on a position of the visible feature in the reflected view and causing the robot to move the object to a processing station based at least in part on the first location and the second location.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: A system and method for measuring distances related to a target object depicted in an image and the construction and delivery of supplemental window materials for fenestration. A captured digital image is obtained containing a scene with a target object whose dimension is to be measured. The digital image may contain a target object dimension identified by one or more ancillary objects and a reference object in the same or different planes. Image processing is performed to find the reference object using known fiducial patterns printed on the reference object, metadata supplied by a user and/or by the detection of colored papers in the scene of the captured image. Adhering objects aid in keeping the reference object applied to an item in the scene such as a wall, while contrast objects aid the image processing to locate the reference object in low contrast reference object/background situations.

Abstract: The present disclosure relates to an image processing device and method which are capable of suppressing an increase in a storage capacity necessary for encoding and decoding. A motion compensating unit that performs motion compensation in decoding of a current layer and a first compressing unit that compresses a motion vector of the current layer that is reconstructed by the motion compensating unit and used for the motion compensation in decoding of another layer are provided. Alternatively, a motion predicting/compensating unit that performs motion prediction and compensation in encoding of a current layer and a first compressing unit that compresses a motion vector of the current layer that is generated by the motion predicting/compensating unit and used in the motion prediction and compensation in encoding of another layer are provided. For example, the present disclosure can be applied to an image processing device.

Abstract: An image processing apparatus inputs image data representing a plurality of images from mutually different viewpoints, estimates first information indicating a disparity between the plurality of images by comparing image regions each having a first size between the plurality of images, and identifies image regions each having a second size different from the first size, between the plurality of images, based on the first information estimated. The estimation estimates second information indicating the magnitude of a disparity between the plurality of images in the identified image regions by comparing the image regions each having the second size between the plurality of images.

Abstract: Coordinates on a two-dimensional image that respectively correspond to points on a three-dimensional space that configures an object included in a field of view based on a viewpoint are specified. A depth map is generated based on a result of assignment processing that assigns distance information of a first point corresponding to first coordinates to a first area including the first coordinates and assigns distance information of a second point corresponding to second coordinates to a second area including the second coordinates, the first and second coordinates belonging to coordinates on the two-dimensional image. A distance from the viewpoint to the first point is longer than a distance from the viewpoint to the second point, and the first area is smaller than the second area. The points configuring the object include the first and second points.

Abstract: A facility, comprising systems and methods, for providing enhanced situational awareness to captured image data is disclosed. The disclosed techniques are used in conjunction with image data, such as a real-time or near real-time image stream captured by a camera attached to an unmanned system, previously captured image data, rendered image data, etc. The facility enhances situational awareness by projecting overlays onto captured video data or “wrapping” captured image data with previously-captured and/or “synthetic world” information, such as satellite images, computer-generated images, wire models, textured surfaces, and so on. The facility also provides enhanced zoom techniques that allow a user to quickly zoom in on an object or area of interest using a combined optical and digital zoom technique. Additionally, the facility provides a digital lead indicator designed to reduce operator-induced oscillations in commanding an image capturing device.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: Provided are an object recognition integration device and an object recognition integration method, which are capable of integrating pieces of detection data that are detected by a respective plurality of sensors in consideration of an inaccuracy of identification of objects. An association relationship between measurement data and previous object data is determined based on an object type and a certainty for each object type candidate contained in measurement data generated for each of the plurality of sensors, and an object type and a certainty for each object type candidate contained in the previous object data. Then, association data is generated by associating the measurement data and the previous object data, which are determined as having “possibility of association”, with each other, to thereby generate current object data by updating the previous object data with use of the association data.

Abstract: An image processing device is provided with a storage unit configured to store for each model among a plurality of models, a model template obtained by reducing a model image; an image reduction unit configured to reduce an input image by the reduction ratio for each model; and a search unit configured to search for the location of a model in an input image on the basis of a reduced input image and a model template. The storage unit stores model templates for at least two of the models wherein said model templates are obtained by reducing the model images by the same reduction ratio; and The image reduction unit processes the at least two models jointly. The image processing device is hereby capable of high-speed identification and recognition of a plurality of models from an input image.

Abstract: The present disclosure discloses a photo processing method and an apparatus for grouping photos into photo albums based on facial recognition results. The method includes: performing face detection on multiple photos, to obtain a face image feature set, each face image feature in the face image feature set corresponding to one of the multiple photos; determining a face-level similarity for each pair of face image features in the face image feature set; determining a photo-level similarity between each pair of photos in the multiple photos in accordance with their associated face-level similarities; generating a photo set for each target photo in the multiple photos, wherein any photo-level similarity between the target photo and another photo in the photo set exceeds a predefined photo-level threshold; and generating a label for each photo set using photographing location and photographing time information associated with the photos in the photo set.

Abstract: The present disclosure relates to a method and apparatus for image processing, comprising: transforming RGB luminance input values of each of pixels in an image into coordinate values in a uniform color space; moving the coordinates of each of pixels in the uniform color space a setting distance based on luminous efficiencies of RGBW and a replacement ratio of W; the setting distance being set so as to satisfy that a color difference between RGB luminance values transformed from the moved coordinate values in the uniform color space and the respective RGB luminance input values of each of pixels is less than a preset value, in order to maintain image quality; and the setting distance being set so as to satisfy that the minimum of the transformed RGB luminance values is greater than the minimum of the RGB luminance input values. In this way, power consumption is reduced.

Abstract: Tracking of a defined area over a series of video frames that compose a video is provided. Various rules regulate the identification of a reference area to be tracked and the determination of subsequent areas that correspond to the reference areas over a series of respective images included the series of video frames. Metadata indicative of placement of a subsequent area in a subsequent image can be updated and retained. A mask video that can permit avoiding or otherwise mitigating occlusion of foreground elements of the subsequent image also can be updated and retained. Such metadata and mask video can permit injecting customized content into the video for which the reference area is tracked.