Abstract: An imaging system and method includes a rolling shutter sensor that captures a plurality of images of a scene, a time-varying illumination source that illuminates the scene, and a processor that receives the plurality of images from the rolling shutter sensor and separates the plurality of images into a plurality of feeds. Each of the plurality of images is captured as a series of lines. The rolling shutter sensor and the time-varying illumination source are operated synchronously to cause a plurality of on-cadence lines of the rolling shutter sensor to receive more illumination from the time-varying illumination source than a plurality of off-cadence lines of the rolling shutter sensor. Each of the plurality of feeds has a different contribution of the time-varying illumination source to an overall illumination of the scene.

Abstract: A video decoding apparatus decodes a sequence of one or more pictures in the unit of blocks which are split from each picture. The apparatus comprising a decoder configured to reconstruct, from a bitstream, a current motion vector difference of the current block among the blocks which belong to the sequence of one or more pictures, and an image decoder configured to predict and decode the current block using the motion vector of the current block. When the current motion vector difference of the current block is zero, the resolution of the current motion vector difference of the current block is set to the ¼ pixel precision without the information on the motion vector resolution extracted.

Abstract: Image denoising includes obtaining a saliency map for an image. The saliency map includes respective saliency scores for pixels of the image. Respective noise levels are assigned to the pixels using the respective saliency scores to obtain a noise level map. The image is denoised using the noise level map to obtain a denoised image. The denoised image is output, such as to a display or a storage device.

Abstract: The invention discloses a powder leakage monitoring device and a powder leakage monitoring method. The powder leakage monitoring device comprises light field camera, 3D PTZ (3-Dimensional Pan/Tilt/Zoom) and computer. Wherein, the light field camera records original light field images of monitored area; the 3D PTZ under the light field camera adjusts the shooting angle of the light field camera when it rotates according to the set direction; and the computer respectively connects to the light field camera and the 3D PTZ, which generates refocused images corresponding to the original light field images, and determines the spatial coordinates of the powder leakage point and the hazard range of the powder leakage in the monitored area according to the refocused images and the shooting angle. Therefore, the range and accuracy of powder leakage monitoring are both increased by using this invention.

Abstract: A method for video decoding is provided. For a current block, whether an angular intra prediction mode for the current block is a wide angle mode that is in a direction outside of a range of directions that spans a bottom left diagonal direction and a top right diagonal direction of the current block is determined. Based on the angular intra prediction mode being determined as the wide angle mode, an intra smooth filter is enabled, the enabled intra smooth filter is applied to blocks neighboring the current block to generate filtered blocks, and intra prediction is performed based on the filtered blocks to decode the current block.

Abstract: Methods and apparatus are provided for signaling intra prediction for large blocks for video encoders and decoders. The intra prediction is signaled by selecting a basic coding unit size and assigning a single spatial intra partition type for the basic coding unit size. The single spatial intra partition type is selectable from among a plurality of spatial intra partition types. The at least one large block has a large block size greater than a block size of the basic coding unit. The intra prediction is hierarchical layer intra prediction and is performed for the at least one large block by at least one of splitting from the large block size to the basic coding unit size and merging from the basic coding unit size to the large block size.

Abstract: An afterimage detection device includes a downscaling unit, an image accumulation unit, an afterimage detection unit and a weight applying unit. The downscaling unit downscales at least one input image at a preset ratio. The image accumulation unit receives at least one downscale image from the downscaling unit and accumulates the at least one downscale image. The afterimage detection unit detects an afterimage from an accumulated downscale image obtained by the image accumulation unit and generates afterimage information. The weight applying unit receives the afterimage information, calculates a downscaling weight of a region of interest including the afterimage in the input image based on a time parameter, and provides the downscaling weight to the downscaling unit. The weight applying unit may also or instead calculate and provide a luminance weight based on the time parameter.

Abstract: A display apparatus and a control method thereof are provided. The display apparatus includes a communication interface configured to receive captured images and information related to the captured images; a display; and a processor configured to: obtain an object disparity of an object included in the captured images and a number of the captured images based on the information related to the captured images; identify whether a display disparity representable by the display matches the object disparity; based on the display disparity not matching the object disparity, generate interpolated images by performing image interpolation based on the display disparity, the object disparity, and the number of the captured images; and control the display to display a three-dimensional content based on the captured images and the interpolated images.

Abstract: A video decoding method by a video decoding apparatus includes: parsing, from a picture parameter set of a bitstream, a first flag related to whether a weighted prediction is applied to slices referring to the picture parameter set; parsing, from the picture parameter set, a second flag related to whether information about the weighted prediction is present in a picture header of the bitstream or is present in a slice header of the bitstream based on the first flag; parsing a prediction weighted table syntax from the picture header or the slice header based on the first flag and the second flag; generating prediction samples for the current block by performing weighted prediction for the current block in a current picture based on syntax elements in the prediction weighted table syntax; and generating reconstructed samples based on the prediction samples.

Abstract: A control device controls a control target apparatus including a moving part and an imaging device. The moving part is configured to change its position relative to a target as the moving part moves, and the imaging device is configured to acquire captured image of the target. Additionally, the control device includes a drive unit that drives the moving part, based on a drive command signal to move the moving part to a target position. Further, the control device includes a relative position estimation unit that calculates an estimated value of a relative position between the target and the imaging device, based on the drive command signal. Additionally, the control device includes a template image correction unit that corrects a preregistered template image, based on a time-series signal of the estimated value of the relative position within an imaging time of the imaging device, and a target position correction unit that corrects the target position using the corrected template image.

Abstract: An encoder that encodes a video includes a processor and memory. Using the memory, the processor: derives a prediction error of an image included in the video, by subtracting a prediction image of the image from the image; determines a secondary transform basis based on a primary transform basis, the primary transform basis being a transform basis for a primary transform to be performed on the prediction error, the secondary transform basis being a transform basis for a secondary transform to be performed on a result of the primary transform; performs the primary transform on the prediction error using the primary transform basis; performs the secondary transform on a result of the primary transform using the secondary transform basis; performs quantization on a result of the secondary transform; and encodes a result of the quantization as data of the image.

Abstract: Motion compensation requires a significant amount of memory bandwidth, especially for smaller prediction unit sizes. The worst case bandwidth requirements can occur when bi-predicted 4×8 or 8×4 PUs are used. To reduce the memory bandwidth requirements for such smaller PUs, methods are provided for restricting inter-coded PUs of small block sizes to be coded only in a uni-predictive mode, i.e., forward prediction or backward prediction. More specifically, PUs of specified restricted sizes in bi-predicted slices (B slices) are forced to be uni-predicted.

Abstract: In a calibration method for a multi-degree-of-freedom movable vision system, a calibration template is placed in front of a camera component, each degree of freedom of movement of the camera component is rotated, several images including features of the calibration template are recorded using the camera component, position information of each degree of freedom of movement when the corresponding images are acquired is also recorded, and calibration results of the camera component and each degree of freedom of movement are calculated using a calculation component. The movable vision system comprises the camera component, the calculation component and a control component.

Abstract: A vision system includes a robot body and a robot operation manipulator that receives inputs from an operator to manipulate the robot body. The vision system also includes a left-eye and right-eye cameras, and a display that displays parallax images for an operator. The vision system further includes an area operation manipulator that receives inputs by the operator to specify a target area to be seen three-dimensionally through the parallax images displayed on the display. The target area is located in an absolute space and is included in a portion of a field of view common between the left-eye and right-eye cameras. The vision system further includes a first controller that controls operation of the robot body, and a second controller that extracts and displays, as parallax images, images corresponding to the target area from a left-eye and right-eye capturing images captured by the left-eye and right-eye cameras, respectively.

Abstract: Embodiments herein provide mechanisms for viewport dependent adaptive streaming of point cloud content. For example, a user equipment (UE) may receive a media presentation description (MPD) for point cloud content in a dynamic adaptive streaming over hypertext transfer protocol (DASH) format. The MPD may include viewport information for a plurality of recommended viewports and indicate individual adaptation sets of the point cloud content that are associated with the respective recommended viewports. The UE may select a first viewport from the plurality of recommended viewports (e.g., based on viewport data that indicates a current viewport of the user and/or a user-selected viewport). The UE may request one or more representations of a first adaptation set, of the adaptation sets, that corresponds to the first viewport. Other embodiments may be described and claimed.

Abstract: A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.

Abstract: The present invention provides a target tracking method, system, device and storage medium, which includes: Determining a target area based on the current frame of a training sample, extracting and fusing histogram of oriented gradient (HOG), color naming (CN), and color space HSV features of the target area to obtain a target template; Determining a target function according to the target template and a spatial regularization weight factor; Introducing the Sherman-Morrison formula into the alternating direction method of multipliers (ADMM) to accelerate the solution of the target function and obtain the response value; Iterating the target tracking model when the response value meets the preset confidence threshold until training is completed to obtain a trained target tracking model, and tracking the target in the video to be observed by using the trained target tracking model.

Abstract: Systems and methods for determining an alignment of a trailer relative to a docking bay or a vehicle bay door using dynamic depth filtering. Image data and position data is captured by a 3D camera system with an at least partially downward-facing field of view. When a trailer is approaching the docking bay or door, the captured image data includes a top surface of the trailer. A dynamic height range is determined based on an estimated height of the top surface of the trailer in the image data and a dynamic depth filter is applied to filter out image data corresponding to heights outside of the dynamic height range. An angular position and/or lateral offset of the trailer is determined based on the depth-filtered image data.

Abstract: A spectral imaging device (1312) for capturing one or more, two-dimensional, spectral images (1313A) of a sample (1310) including (i) an image sensor (1328), (ii) an illumination source (1314), (iii) a beam path adjuster (1362), and (iv) a control system (1330). The illumination source (1314) that generates an illumination beam (1316) that is directed along an incident sample beam path (1360) at the sample (1310). The beam path adjuster (1362) selectively adjusts the incident sample beam path (1360).

Abstract: Disclosed are front entry cabs, and power machines with front entry cabs, having a door that is moveable between opened and closed positions and a display oriented in the cab to provide information to the operator both while the door is in the opened and closed positions. In the opened position, the door is positioned within an operator compartment of the cab above the operator seat and below a top of the cab. The display is positioned to not interfere with the door, door linkages, or operator joystick control.