Real-shot dual-viewpoint 3D video optimization method and system for naked-eye 3D display
An optimization method and dual-view technology, applied in the field of 3D video optimization, can solve problems such as affecting 3D effect, 3D image pulling, brightness inconsistency, etc., and achieve the effect of overcoming 3D visual effect problems, avoiding inconsistency, and maintaining 3D effect.
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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, said method comprising the following steps:
[0057] Step S1. Input real-shot dual-viewpoint 3D video, see figure 1 ;
[0058] Step S2. Select the left image or the right image as the first viewpoint image, then the corresponding right image or the left image is the second viewpoint image;
[0059] Step S3. Divide the first viewpoint image into basic calculation units; the basic calculation 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. The basic calculation unit based on the first viewpoint image searches for a matching unit in the second viewpoint image, and calculates a parallax field;
[0061] The search matching unit adopts a semi-automatic method; the edge block and its adjacent blocks are manually assigned a parallax value, and the non-edge block ...
Embodiment 2
[0080] A method for optimizing real-shot dual-viewpoint 3D video for naked-eye 3D display, said method comprising the steps of:
[0081] Step S1. Input real shot dual-viewpoint 3D video;
[0082] Step S2. Select the left image or the right image as the first viewpoint image, then the corresponding right image or the left image is the second viewpoint image;
[0083] Step S3. Dividing the first viewpoint image into basic computing units;
[0084] Step S4. The basic calculation unit based on the first viewpoint image searches for a matching unit in the second viewpoint image, and calculates a parallax field;
[0085] Step S5. Using an edge-guided interpolation method to convert the basic computing unit-based disparity field into a pixel-based disparity field;
[0086] Step S6. Normalize the pixel-based parallax field, and output the first viewpoint image and the pixel-based parallax field in an image and depth 3D video format.
[0087] In summary, the real-time dual-viewpoint...
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