Video matching method, device and system

Abstract

The invention relates to a video matching method, which comprises the following steps: selecting one frame calculated with an integral image depth map in a video image sequence as a reference frame; acquiring a varying area of a first image of a current frame relative to a first image of the reference frame, and a varying area of a second image of the current frame relative to a second image of the reference frame; and matching and calculating depth maps of the varying area of the first image and the varying area of the second image of the current frame. The invention also relates to a video matching device and a system. The invention utilizes video images, particularly correlation among video image sequences to select the frame matched with the integral image and calculated with the depth map as the reference frame, and newly performs corresponding image matching and depth map calculation only for the varying area of the current frame by detecting the varying area of the image of the current frame relative to the image of the reference frame, therefore, the invention shortens the matching time of the image of the current frame remarkably so as to improve the matching speed of the video and achieve the quick matching of the video.

Description

technical field [0001] The present invention relates to the video field, in particular to a video matching method, device and system. Background technique [0002] Stereoscopic (3D) video is based on the principle of human binocular parallax. Two images of the same scene but with slight differences are obtained through dual cameras, which are displayed to the left and right eyes of the person respectively, forming binocular parallax, so that people can obtain the depth of the scene. information and experience a three-dimensional effect. Stereoscopic video technology can provide depth information in line with the principle of stereoscopic vision, so that it can truly reproduce the objective world scene, showing the depth, layering and authenticity of the scene, which is an important direction for the development of current video technology. Stereoscopic video technology has been studied as early as the 1970s and 1980s, but it has not been widely used due to immature technolo...

AI Technical Summary

Problems solved by technology

[0004] This existing technology is only effective for scenes with a constant background. When the background changes, the virtual viewpoint image reconstructed by using the original background depth information will be wrong ; And, this prior art needs to extract complete foreground target outline, and processing is more complicated, thereby increased the difficulty that prior art realizes stereoscopic video matching

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