Real-shot double-viewpoint 3D video optimization method and system oriented to naked 3D display
An optimization method and dual-viewpoint technology, applied in the field of 3D video optimization, can solve problems affecting 3D effects, 3D image tearing, brightness inconsistency, etc., and achieve the effect of overcoming 3D visual effect problems, avoiding inconsistencies, and maintaining 3D effects
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Embodiment 1
[0056] see image 3 , the present invention discloses a real-shot dual-viewpoint 3D video optimization method for naked-eye 3D display, the method includes the following steps:
[0057] Step S1. Input the real shot dual-view 3D video, please refer to figure 1 ;
[0058] Step S2. Select the left image or the right image as the first viewpoint image, then the corresponding right image or left image is the second viewpoint image;
[0059] Step S3. Divide the first viewpoint image into basic computing units; the basic computing units are divided in the form of blocks (such as figure 2 shown), the preferred block size is 4x4 or 8x8 or 16x16;
[0060] Step S4. Search for a matching unit in the second viewpoint image based on the basic calculation unit of the first viewpoint image, and calculate the parallax field;
[0061] The search matching unit adopts a semi-automatic method; the edge block and its adjacent blocks are manually assigned disparity, and the non-edge block autom...
Embodiment 2
[0080] A real-shot dual-viewpoint 3D video optimization method for naked-eye 3D display, the method comprising the following steps:
[0081] Step S1. Input real shot dual-view 3D video;
[0082] Step S2. Select the left image or the right image as the first viewpoint image, then the corresponding right image or left image is the second viewpoint image;
[0083] Step S3. Divide the first viewpoint image into basic computing units;
[0084] Step S4. Search for a matching unit in the second viewpoint image based on the basic calculation unit of the first viewpoint image, and calculate the parallax field;
[0085] Step S5. using an edge-guided interpolation method to convert the disparity field based on the basic computing unit into a pixel-based disparity field;
[0086] Step S6. Normalize the pixel-based disparity field, and output the first viewpoint image and the pixel-based disparity field in image and depth 3D video formats.
[0087] To sum up, the method and system for o...
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