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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.

Active Publication Date: 2019-01-11
上海易维视科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Glasses-free 3D display devices that play 3D film and television and other well-post-processed dual-viewpoint 3D videos have appeared and are widely used. However, the naked-eye 3D display devices that directly play real-shot dual-viewpoint 3D videos face many problems: (1) real-shot There are problems such as brightness inconsistency, color inconsistency, and vertical parallax in the left and right images of dual-viewpoint 3D videos that significantly affect the 3D effect; Inaccurate parallax extraction, leading to serious problems such as 3D image tearing

Method used

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  • Real-shot dual-viewpoint 3D video optimization method and system for naked-eye 3D display
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  • Real-shot dual-viewpoint 3D video optimization method and system for naked-eye 3D display

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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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Abstract

The invention discloses a real-shot double-viewpoint 3D video optimization method and system oriented to naked 3D display. The method comprises the following steps: inputting a real-shot double-viewpoint 3D video; selecting a left picture or a right picture as a first viewpoint image, and a corresponding right picture or left picture as a second viewpoint image; partitioning the first viewpoint image into basic computing units; searching for matching units in the second viewpoint image based on the basic computing units of the first viewpoint image to compute a parallax field; converting the parallax field based on the basic computing units into a parallax field based on pixels by an edge-directed interpolation method; and normalizing the parallax field based on the pixels, and outputting the first viewpoint image and the parallax field based on the pixels in an image and depth 3D video format. Through adoption of the real-shot double-viewpoint 3D video optimization method and system, complicated later processing can be avoided in order to eliminate differences between the left picture and the right picture of the real-shot double-viewpoint 3D video. Through a semi-automatic parallax computing method, depth information or parallax information of the real-shot double-viewpoint 3D video can be extracted effectively, and the 3D effect of the real-shot double-viewpoint 3D video is kept.

Description

technical field [0001] The invention belongs to the technical field of 3D video optimization, and relates to a 3D video optimization method, in particular to a real-shot dual-viewpoint 3D video optimization method for naked-eye 3D display; at the same time, the invention also relates to a real-shot 3D display for naked-eye 3D display Dual-viewpoint 3D video optimization system. Background technique [0002] Dual-viewpoint 3D video is a common 3D video format and the main form of 3D video content. Dual-viewpoint 3D video can be shot by dual-camera 3D cameras, and is the main way to obtain 3D video content. However, the dual-camera 3D camera uses dual cameras to shoot the left and right images separately, resulting in differences between the left and right images of the actual dual-viewpoint 3D video, such as inconsistent brightness, color inconsistency, vertical parallax, etc., which will significantly affect the 3D quality of the actual dual-viewpoint 3D video. Therefore, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N13/128H04N13/239
CPCH04N13/128H04N13/139
Inventor 方勇石岩
Owner 上海易维视科技有限公司
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