A three dimensional system including additional 2 dimensional to three dimensional conversion.

An information processing apparatus includes an acquisition unit configured to acquire image data, a generation unit configured to generate information about time as generated additional data, and a replacement unit configured to replace data at a plurality of pixel positions of the acquired image data with the generated additional data.

In filter processing of a disparity map and a depth map, a disparity estimation accuracy is improved while maintaining the edge of a subject. An image processing apparatus that corrects a depth image representing information about a depth to a subject in a scene, which is the same scene of a plurality of images obtained by photographing the same subject from different viewpoints. The image processing apparatus includes: an evaluation value derivation unit configured to derive a matching evaluation value between the plurality of images; a weight determination unit configured to determine a weight in the correction based on the evaluation value; and a correction unit configured to correct a pixel value in the depth image by using the weight.

The present invention relates to an apparatus and a method for receiving a digital broadcasting signal including a three-dimensional image and displaying a two-dimensional image. The apparatus for receiving the digital broadcasting signal according to one embodiment of the present invention includes: a tuner for receiving the digital broadcasting signal including a video stream for forming the three-dimensional image and signaling data; a signaling data processor for decoding the digital broadcasting signal including a 2D display window table, which includes information for a partial area of a video image according to the video stream; and a display unit for displaying the video image of the video stream as the two-dimensional image using the information for the partial area.

A method of encoding and reconstructing a depth image using color image information includes segmenting a color image and a depth image corresponding to the color image into block units, selecting a position of a pixel sampling value from each block of the depth image using the color image information, and encoding the pixel sampling value of the selected position as depth information.

Techniques are disclosed for capturing stereoscopic images using one or more high color density or full color image sensors and one or more low color density or sparse color image sensors. Low color density image sensors, may include substantially fewer color pixels than the sensor's total number of pixels, as well as fewer color pixels than the total number of color pixels on the full color image sensor. More particularly, the mostly-monochrome image captured by the low color density image sensor may be used to reduce noise and increase the spatial resolution of an imaging system's output image. In addition, the color pixels present in the low color density image sensor may be used to identify and fill in color pixel values, e.g., for regions occluded in the image captured using the full color image sensor. Optical Image Stabilization and/or split photodiodes may be employed on one or more sensors.

A method of colorizing a 3D point cloud includes receiving the 3D point cloud, receiving a 2D color image acquired by a camera, creating a 2D intensity image of the 3D point cloud based on intrinsic and extrinsic parameters of the camera, generating a set of refined camera parameters by matching the 2D intensity image and the 2D color image, creating a depth buffer for the 3D point cloud using the set of refined camera parameters, determining a foreground depth for each respective pixel of the depth buffer, and coloring the point cloud by, for each respective point of the 3D point cloud: upon determining that the respective point is in the foreground, assigning a color of a corresponding pixel in the 2D color image to the respective point; and upon determining that the respective point is not in the foreground, not assigning any color to the respective point.

A system, method and apparatus for stereo vision with a plurality of coupled cameras and optional sensors.

A camera calibration board, which is arranged three-dimensionally above a board, includes the board, a plurality of flat plates, and a plurality of support columns having the same length. The plurality of flat plates are spatially arranged in a plane different from a plane in which the board is arranged. The board and each of the plurality of flat plates have different reflectances with respect to visible light. With this configuration, it is possible to accurately measure extrinsic parameters between cameras, which are required for calibrating cameras that use different types of image sensors, in order to easily analyze a group of images acquired from a plurality of sensors.

An image processing method includes generating a target color image of a second viewpoint by warping a color image of a first viewpoint to the second viewpoint using a depth image corresponding to the color image of the first viewpoint; determining a conversion relationship of temporally neighboring color images among a plurality of color images of the second viewpoint, the plurality of color images including the target color image; and restoring a first hole of the target color image based on the conversion relationship.