Abstract: A method of real-time depth mapping in a dual camera system, including, receiving an auto focus image, rectifying the auto focus image, receiving a plenoptic image having lens that cover 2×2 pixels, extracting four plenoptic sub-images, averaging and rectifying the plenoptic sub-images, block matching the rectified auto focus image and the rectified plenoptic sub-images along epipolar lines, block matching the rectified plenoptic sub-images along a vertical and a horizontal direction, determining a composite block matching error of the plenoptic block match, determining a plenoptic disparity map of the plenoptic sub-images based on the composite block matching error, converting the plenoptic disparity map to a plenoptic depth map, converting the plenoptic depth map to an initial stereo disparity map, searching for a guided disparity map based on the initial stereo disparity map and the epipolar block match and converting the guided disparity map to a guided depth map.

Abstract: An autostereoscopic 3D display comprises a first unit (503) for generating an intermediate 3D image. The intermediate 3D image comprises a plurality of regions and the first unit (503) is arranged to generate a first number of image blocks of pixel values corresponding to different view directions for the region regions. The number of image blocks is different for some regions of the plurality of regions. A second unit (505) generates an output 3D image comprising a number of view images from the intermediate 3D image, where each of the view images correspond to a view direction. The display further comprises a display arrangement (301) and a driver (507) for driving the display arrangement (301) to display the output 3D image. An adaptor (509) is arranged to adapt the number of image blocks for a first region in response to a property of the intermediate 3D image or a representation of a three dimensional scene from which the first image generating unit (503) is arranged to generate the intermediate image.

Abstract: A depth data detection apparatus and monitoring apparatus are disclosed. The depth data detection apparatus has at least two infrared light generators (11, 12) alternately operating, thereby ensuring that each of the infrared light generators has a sufficient power-off time while ensuring continuous operation of the system, so that each infrared light generator can reach its service lift as much as possible. Different infrared light generators can project infrared beams with different angles and/or from different positions, and the depth information obtained can be fused with each other in order to acquire the depth information of the object to be measured more completely. In addition, different infrared light generators can also project infrared beams to different areas or the same area of the space to be measured for their respective purposes.

Abstract: The present disclosure relates to signaling of sample adaptive offset (SAO) parameters determined to minimize an error between an original image and a reconstructed image in video encoding and decoding operations. An SAO decoding method includes obtaining context-encoded leftward SAO merge information and context-encoded upward SAO merge information from a bitstream of a largest coding unit (MCU); obtaining SAO on/off information context-encoded with respect to each color component, from the bitstream; if the SAO on/off information indicates to perform SAO operation, obtaining absolute offset value information for each SAO category bypass-encoded with respect to each color component, from the bitstream; and obtaining one of band position information and edge class information bypass-encoded with respect to each color component, from the bitstream.

Abstract: Provided are a method and a device for decoding a Picture Order Count (POC), and a method and a device for coding a POC, and electronic equipment. The method for decoding the POC includes that: parameters for Most Significant Bit (MSB) and Least Significant Bit (LSB) used in an alignment operation on the POC are acquired; an MSB value and an LSB value of a POC value of a current picture are determined according to the parameters for MSB and LSB; and the POC value of the current picture is calculated according to the MSB value and the LSB value. By means of the technical solution, the problems in the related art that the accuracy in decoding and outputting a multilayer video bitstream cannot be ensured and an extra overhead of network resources is increased in multilayer video coding and decoding processes are solved.

Abstract: Provided is an image processing device including: an input interface, which is configured to acquire a first captured image and a second captured image that are captured by a plurality of imaging units and; and a controller, which is configured to calculate parallax by performing a one-dimensional matching based on pixel values of the first captured image and pixel values of the second captured image, extracts one or more first feature points from a region in the first captured image that includes continuous pixels having a difference in parallax which is within a predetermined range, extract one or more second feature points corresponding respectively to the first feature points by performing a two-dimensional matching with the first feature points, and calibrate the imaging unit based on positions of the first feature points and positions of the second feature points.

Abstract: An omnidirectional sensor array system, for example a panoptic camera, comprising a plurality of sensors arranged on a support of predetermined shape to acquire data, wherein said sensors are directional and wherein each sensor is attached to a processing node which comprises integrated electronics that carries out at least a portion of the signal processing algorithms locally in order to reduce the computational load of a central hardware unit.

Abstract: An image coding method for coding an image on a block-by-block basis, includes: selecting, for each of a plurality of sub-blocks included in a coding-target block and each including a plurality of coefficients, a context for performing arithmetic coding on a parameter indicating a coding-target coefficient included in the sub-block from a context set corresponding to the sub-block, based on at least one reference coefficient located around the coding-target coefficient, the coding-target block being a transform unit; and performing arithmetic coding on the parameter indicating the coding-target coefficient using probability information about the selected context, wherein, in the selecting, the context is selected from the context set, the context set corresponding to a sum of (i) a value indicating a position in a horizontal direction of the sub-block in the coding-target block and (ii) a value indicating a position in a vertical direction of the sub-block in the coding-target block.

Abstract: Embodiments of the present application provide an image capturing-based positioning method and an image capturing-based positioning apparatus. The method comprises: determining that an eye of a user is gazing at an auxiliary positioning object; photographing the eye of the user and acquiring a distance of the user relative to the auxiliary positioning object; capturing at least one image comprising the auxiliary positioning object; obtaining, according to the at least one image, direction information of the user relative to the auxiliary positioning object and position information of the auxiliary positioning object; and obtaining position information of the user according to the position information of the auxiliary positioning object, the distance of the user relative to the auxiliary positioning object, and the direction information.

Abstract: There is disclosed an apparatus, system, method and computer program product for recognizing a face, the method comprising: emitting at least one group of structured light to a face to be recognized, successively; capturing a set of light-source-illuminated images of the face when the face is illuminated successively by each group of light of the at least one group of structured light; extracting a first set of features including a feature of each detection point in a set of detection points of the face based on the set of light-source-illuminated images; acquiring a second set of features including a feature of each detected point in a set of detected points of a face template; computing a similarity between the face and the face template based on the first set of features and the second set of features; and recognizing the face as being consistent with the face template if the similarity is larger than a threshold.

Abstract: The present disclosure relates to signaling of sample adaptive offset (SAO) parameters determined to minimize an error between an original image and a reconstructed image in video encoding and decoding operations. An SAO decoding method includes obtaining context-encoded leftward SAO merge information and context-encoded upward SAO merge information from a bitstream of a largest coding unit (MCU); obtaining SAO on/off information context-encoded with respect to each color component, from the bitstream; if the SAO on/off information indicates to perform SAO operation, obtaining absolute offset value information for each SAO category bypass-encoded with respect to each color component, from the bitstream; and obtaining one of band position information and edge class information bypass-encoded with respect to each color component, from the bitstream.

Abstract: A method of saving image data of a camera in an accident data recorder of a vehicle involves: a) performing object recognition to determine object data regarding objects detected from the camera image data; b) compressing the camera image data by a lossy compression method to form compressed image data; c) storing the object data and the compressed image data in a storage unit; d) overwriting the data in the storage unit after a predefined volume of data has been stored; and e) statically saving the object data and the compressed image data in response to a trigger signal.

Abstract: An image convertor converts an original image captured by a front camera. The original image includes a road surface around a vehicle. A three-dimensional object detector detects from a virtual image a three-dimensional object having a height from the road surface. A vehicle accessibility determiner determines whether the vehicle can access to the inside of the detected three-dimensional object or to a clearance among other three-dimensional objects.

Abstract: An object is to provide an approaching-body warning device capable of causing a drive to recognize, with enhanced reality, a direction and a location of a detection target approaching to an own vehicle. It is provided with a detection system including cameras, a radar sensor, and the like for detecting detection targets approaching to an own vehicle from various directions. A plurality of speakers is arranged in a cabin of the own vehicle to surround a driver. When the detection system determines that a detection target is approaching from any of various directions, an audio control unit provides, to the driver, enhanced reality of the approaching detection target by producing warning sound with surround signals output to a surround stereo audio system to form a sound field corresponding to an approaching direction.

Abstract: An image processing method is performed by a processor of an image processing apparatus which performs image processing of an input frame image. In the image processing method, a tonal histogram is generated, of which a gross area corresponds to a total number of pixels in the input frame image, and contrast is calculated from the tonal histogram. An input of a motion-detecting level with respect to the input frame image is received. A motion-detecting threshold corresponding to the motion-detecting level and the contrast is calculated. A composite image of the input frame image and a preceding frame image of the input frame image is generated based on a comparison result of a finite difference value between the input frame image and the preceding frame image, and the motion-detecting threshold.

Abstract: The embodiments describe an information processing device, which is connected to a plurality of imaging devices and a method for receiving images by the information processing device. The imaging devices have a first imaging device and a second imaging device. The method includes displaying a first image captured by the first imaging device and switching, at a time that the first image is not received by the information processing device, to a second image captured by the second imaging device.

Abstract: A video encoding device includes a coded data transcoding section 131 for transcoding first coded data generated by a first video encoding section 11 to generate second coded data, wherein the coded data transcoding section 131 includes: a prediction mode adding section 1312 for generating intra prediction modes unusable by the first video encoding section 11 and usable by a second video encoding section 14; and a prediction mode selecting section 1313 for evaluating the prediction modes generated by the prediction mode adding section 1312 and, based on the evaluation results, selecting a prediction mode used by the second video encoding section 14.

Abstract: A method of de-blocking an edge of a block of samples of video data is disclosed. A first prediction mode is decoded for a first block of two adjacent blocks of video data, each of the blocks of video data including a primary color channel and at least one secondary color channel. A second prediction mode is decoded for a second block of the two adjacent blocks of video data. A boundary strength value is determined for a block of samples along an edge corresponding to a boundary between said first block of video data and said second block of video data. A weak de-blocking filter is applied to the block of data along said edge if the determined boundary strength value indicates that the first prediction mode is intra prediction and the second prediction mode is intra-block copy prediction. The weak de-blocking filter is different to a filter applied to a block determined to have two, adjacently located, intra prediction mode blocks.

Abstract: Mathematical relationships between the scene geometry, camera parameters, and viewing environment are used to control stereography to obtain various results influencing the viewer's perception of 3D imagery. The methods may include setting a horizontal shift, convergence distance, and camera interaxial parameter to achieve various effects. The methods may be implemented in a computer-implemented tool for interactively modifying scene parameters during a 2D-to-3D conversion process, which may then trigger the re-rendering of the 3D content on the fly.

Abstract: The present disclosure relates to signaling of sample adaptive offset (SAO) parameters determined to minimize an error between an original image and a reconstructed image in video encoding and decoding operations. An SAO decoding method includes obtaining context-encoded leftward SAO merge information and context-encoded upward SAO merge information from a bitstream of a largest coding unit (MCU); obtaining SAO on/off information context-encoded with respect to each color component, from the bitstream; if the SAO on/off information indicates to perform SAO operation, obtaining absolute offset value information for each SAO category bypass-encoded with respect to each color component, from the bitstream; and obtaining one of band position information and edge class information bypass-encoded with respect to each color component, from the bitstream.