Method for obtaining parallax by using region-based local stereo matching

Abstract

The invention discloses a method for obtaining parallax by using region-based local stereo matching. The method comprises the steps of selecting a plurality of searching pixels in a second channel of viewpoint images for a current pixel of a first channel of viewpoint images; obtaining a first matching cost value and a second matching cost value between the current pixel and a certain searching pixel by respectively using a sum of absolute differences (SAD) algorithm and a Rank transformation algorithm; determining a first matching weight and a second matching weight according to numbers of edge pixels in a set region around pixels corresponding to the current pixel in binaryzation edge images of the first channel of viewpoint images; regarding the sum of the product of the first matching cost value and the first matching weight and the product of the second matching cost value and the second matching weight as a final matching cost value between the current pixel and the searching pixel; obtaining other final matching cost values and choosing the smallest matching cost value in all the final matching cost values and obtaining a vector difference which is a first parallax of the current pixel between a searching pixel which corresponds to the smallest matching cost value and the current pixel.

Description

【Technical Field】 [0001] The invention involves the field of visual processing, and specifically involves the use of regional local three -dimensional matching methods to obtain dialogue. 【Background technique】 [0002] In the era of digitalization of informatization, with the development of society, ordinary 2D videos have not been able to meet the needs of human life and work in some ways. 3D video related technologies have become important areas of current science and technology development.The production of stereo videos has extensive prospects and business value. At present, there are usually three methods to obtain stereo videos.This method requires professional three -dimensional video shooting equipment and complete post -processing assembly lines, which is too high.At the same time, the three -dimensional camera needs to be matched between different perspectives when shooting, which has certain restrictions on the shooting environment and camera movement.2) Three -dimens...

AI Technical Summary

Problems solved by technology

This method requires professional stereoscopic video shooting equipment and a complete post-processing pipeline, and the cost is too high

At the same time, the stereo camera needs to be matched and calibrated between different viewing angles when shooting, which has certain restrictions on the shooting environment and camera movement.

2) Three-dimensional modeling software to produce stereoscopic video, this method requires professionals to spend a lot of energy on modeling scenes and objects

This method is simple to implement, and can achieve relatively high accuracy in places with continuous parallax and rich texture, but it is more sensitive to noise.

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