The image generating device includes: a first camera configured to photograph a depth image of a subject using a first light; a second camera configured to photograph a color image of the subject by converting a second light into an image signal; a view angle extender configured to change a view angle, wherein the view angle is an angle at which the first camera and the second camera are operable to photograph the subject; and a controller configured to control the view angle extender to change the view angle of the first camera and the second camera and to form a single depth image and a single color image by respectively synthesizing a plurality of depth images and a plurality of color images, photographed by the first camera and the second camera.

To reduce burden of a viewer at the time of performing stereoscopic display by a stereoscopic display device and to show a stereoscopic image in a natural and comfortable manner. A disparity estimating unit 210 estimates disparity from the left and right images of an input image to generate a disparity map. A disparity analyzing unit 230 analyzes the disparity map to generate a disparity control parameter for performing suitable disparity control. A disparity control unit 240 controls the content of processing at an image conversion unit 250 in accordance with the disparity control parameter. The image conversion unit 250 performs image conversion on the input image based on the control by the disparity control unit 240 to output an output image. The image conversion unit 250 performs image conversion of two steps. The image conversion unit 250 performs shift processing for shifting the relative positions of the left and right images of the input image in the horizontal direction as first step image conversion, for example. The image conversion unit 250 performs scaling processing for performing enlargement/reduction of the entire screen with each center of the left and right images as a reference, as second step image conversion, for example.

A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit and a light source detection unit. The image conversion unit converts a viewpoint of the images obtained by the image capturing unit to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the adjacent lane. The three-dimensional object detection unit determines the presence of the three-dimensional object within the adjacent lane-when the difference waveform information is at a threshold value or higher. The three-dimensional object detection unit set a threshold value lower so that the three-dimensional object is more readily detected in a rearward area than forward area with respect to a line connecting the light source and the image capturing unit.

Systems and devices for acquiring imagery and three-dimensional (3D) models of objects are provided. An example device includes a platform configured to enable an object to be positioned thereon, and a plurality of scanners configured to capture geometry and texture information of the object when the object is positioned on the platform. A first scanner is positioned below the platform so as to capture an image of a portion of an underside of the object, a second scanner is positioned above the platform, and a third scanner is positioned above the platform and offset from a position of the second scanner. The scanners are positioned such that each scanner is outside of a field of view of other scanners. Scanners may include a camera, a light source, and a light-dampening element, and the device may include a control module configured to operate the scanners to individually scan the object.

A method for processing data and an apparatus thereof are provided. The method includes: projecting a first structure light and a second structure light onto a surface of a target object, wherein the first structure light is a stripe-structure light; capturing a first image comprising the target object; detecting first image information corresponding to the first structure light in the first image, wherein the first image information is stripe image information; detecting second image information corresponding to the second structure light in the first image; and obtaining a depth of the target object based on the first image information and the second image information.

The present invention relates to a method of encoding a video data signal for use with a multi-view rendering device, a method of decoding the video data signal, the video data signal, an encoder of the video data signal, a decoder of the video data signal, a computer program product comprising instructions for encoding the video data signal and a computer program product comprising instructions for decoding a video data signal. The method of encoding provides (401) a first image (10) of a scene associated with a first viewpoint, a depth map (20) associated with the first image, metadata (30) for use in depth map processing or rendering one or more views for further viewpoints by the multi-view rendering device, and generates (404) the video data signal. The video data signal comprises video frames partitioned in sub-images comprising a sub-image based on the first image and a depth sub-image based on the depth map, and metadata encoded in a color component of the depth sub-image.

To obtain a three-dimensional virtual reconstruction of a workpiece the workpiece is positioned on a display screen between the display screen and at least one imager wherein the imager acquires multiple images of the workpiece while (a) multiple light stripes are displayed and swept in a first directional orientation across the display screen, (b) multiple light stripes are displayed and swept in at least one second directional orientation across the display screen, and (c) multiple images for each position of the multiple light stripes at different exposure times are captured. From the multiple images, a difference caused by the workpiece in a width and a profile of the multiple light stripes is determined. That difference is used to calculate a depth value (z) of the workpiece at each imager pixel position (x, y). The calculated depth value is used to reconstruct a surface shape of the workpiece. In embodiments, the described transmittance light capture analyses are supplemented with reflectance light capture analyses.

The subject disclosure is directed towards providing a web application with access to hardware accelerated graphics. A rendering format for a set of video frames is established. A graphics component, which is coupled to a graphics device and associated with an unsupported file type, is identified. The graphics component generates image data compromising the hardware accelerated graphics. When the web application requests a set of video frames, the image data is transformed into the set of video frames in accordance with the format. Then, the set of frames is communicated to a display device.

A broadcast receiver and a method for processing video data are disclosed. The method for controlling a three dimensional (3D) video display output of a broadcast receiver includes receiving a broadcast signal including a video stream, wherein the video stream includes a plurality of video stream sections having different view points, acquiring view point information indicating corresponding view points of the video stream sections, and controlling a three dimensional (3D) video display output of the video stream according to the obtained view point information.

An exemplary embodiment of a 3D camera system for a patient positioning and monitoring system is described. In the system a pair of image detectors are provided where the image detectors are each associated with a heater thermally connected to conducting pads provided at the periphery of the image detectors. The heaters and conducting pads act to contain the image detectors in a substantially constant temperature micro climate thereby preventing external temperature variations from causing the relative positions of the image detectors to change so as to record portions of images as different pixels and hence reduce the consistency with which the identification of matching portions of images obtained by the image detectors can be utilized to determine the 3D positions of imaged objects.