Local optimum belief propagation algorithm-based binocular video depth map solution method

Abstract

The invention provides a local optimum belief propagation algorithm-based binocular video depth map solution method. The method comprises the steps as follows: conducting partition and region division to two images; carrying out depth calculation by utilizing the local optimum belief propagation algorithm, processing different regions and different message values, wherein the message values are pixel visual difference information; and conducting zone fusion and color filing to the depth map. The method can conduct separate propagation in different regions by the improved belief propagation algorithm-based message propagation mode, and improve the depth map acquisition speed by changing the message propagation range and establishing the relation among the remote pixels, does not influence the propagation of a correct message by conducting separate processing to a shielded part, and greatly reduces the zone number and leads the optical parallax between zones to be more smooth by merging the small divided zones and conducting overall color filling to the object.

Description

technical field [0001] The invention relates to the field of computer multimedia technology, in particular to a method for obtaining a binocular video depth map based on a local optimal belief propagation algorithm. Background technique [0002] Stereoscopic video is a new type of video technology that can make people feel three-dimensional. It can make people see almost exactly the same scene as the real world through video, and produce a sense of reality and presence. Therefore, it will definitely become the development direction of future multimedia technology. . At present, the commonly used stereoscopic video architecture is as follows: two videos are transmitted at the same time, one of which is a planar video sequence to be converted, and the other is a corresponding depth map sequence, which contains the depth information of each pixel in each frame, Through DIBR (Depth Image Based Rendering, based on depth map rendering) technology, obtain the virtual perspective o...

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Problems solved by technology

[0004] However, the above-mentioned method for obtaining the depth map has many defects such as slow speed, too many blocks, inaccurate edges, and the depth map cannot truly reflect the distance between objects in the scene.

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