A Depth Map Calculation Method for Binocular Video Based on Image Segmentation and Motion Estimation

A technology of motion estimation and image segmentation, which is applied in image analysis, image communication, image data processing, etc., can solve the problems of inaccurate edges, inability to balance accuracy and real-time performance, and unsatisfactory effects on occluded parts, and achieve edge Accurate, taking into account accuracy and real-time performance, and overcoming the effect of disparity map border blur

Active Publication Date: 2015-07-29
TSINGHUA UNIV
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Problems solved by technology

[0004] However, the above-mentioned method for obtaining binocular video depth map has many defects, such as the edge is not accurate enough, the ideal effect cannot be obtained in the occluded part, the accuracy and real-time performance cannot be balanced, and the depth map cannot truly reflect the distance relationship between scene objects Wait

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  • A Depth Map Calculation Method for Binocular Video Based on Image Segmentation and Motion Estimation
  • A Depth Map Calculation Method for Binocular Video Based on Image Segmentation and Motion Estimation
  • A Depth Map Calculation Method for Binocular Video Based on Image Segmentation and Motion Estimation

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[0023] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0024] figure 1 It is a flow chart of the method for obtaining a binocular video depth map based on image segmentation and motion estimation in the present invention. As can be seen from the figure, the method for obtaining a binocular video depth map based on image segmentation and motion estimation includes the following steps:

[0025] S1: Perform single-frame image segmentation on the two images;

[0026] S2: Use the stereo matching algorithm based on image segmentation to perform depth calculation;

[0027] S3: Using motion estima...

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Abstract

The invention discloses a binocular video depth map obtaining method based on image segmentation and motion estimation. The method includes the following steps: respectively performing single-frame image segmentation for two images; performing depth calculating by aid of the stereo matching algorithm based on image segmentation; and rectifying depth extracting results by aid of motion estimation. A depth map extracted in the binocular video depth map obtaining method based on image segmentation and motion estimation is accurate in edges, an ideal effect can also be obtained on shielded portions, accuracy and timeliness are both considered, and the distance relation between scene objects is truly reflected.

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 image segmentation and motion estimation. 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 of th...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20H04N13/00
Inventor 戴琼海马潇曹汛王好谦
Owner TSINGHUA UNIV
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