Depth computation reconstruction method combining global modeling with non-local filtration

A non-local filtering and depth computing technology, applied in the field of image processing, can solve the problems of restoring the global structure, restoring errors, and not providing enough
CN106296706AInactive Publication Date: 2017-01-04DALIAN UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
DALIAN UNIV OF TECH
Publication Date
2017-01-04
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a depth computation reconstruction method combining global modeling with non-local filtration, and belongs to the field of image processing. According to the method, by means of a high resolution color image, a depth computation construction model is established for an initial low-quality depth image in a global mode, and depth reconstruction is carried out by a non-local fixed point iteration filtering method. The method is simple in procedure and easy to implement and can obtain a depth image with a higher resolution; the global modeling method utilizes global information of the color image and has a good effect of recovering a depth edge and non-local fine structures in the depth image; and a fixed point iteration filtering algorithm is deduced out in a derivation mode, so that the problem of solving large-scale matrix inversion by adopting the least square, simplicity is kept in design and implementation, and the depth computation reconstruction method has low complexity in algorithm.
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Description

technical field

[0001] The invention belongs to the field of image processing, and relates to modeling a depth map acquired by a depth camera in a global manner, and deriving a non-local fixed-point iterative filtering algorithm to optimize the depth map. Specifically, it relates to a deep calculation and reconstruction method combining global modeling and non-local filtering. Background technique

[0002] A common image is a projection of a 3D scene onto a 2D imaging plane—this imaging approach results in a loss of depth information for the 3D scene. In order to obtain scene depth information, people usually perform stereo matching on multi-view images to calculate disparity, and deduce the corresponding depth according to the multi-view geometric relationship. This kind of method has the problems of high computational complexity and difficult to deal with non-textured regions. With the advancement of imaging technology, the depth cameras that have been launched in the ma...

Claims

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