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

Inactive Publication Date: 2017-01-04
DALIAN UNIV OF TECH
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Problems solved by technology

However, the local judgment does not provide enough information to recover the global structure, and also produces recovery errors in richly colored textured regions

Method used

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

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Embodiment Construction

[0050] The joint global modeling and non-local filtering depth calculation and reconstruction method of the present invention will be described in detail below with reference to the embodiments and the accompanying drawings.

[0051] A deep computational reconstruction method that combines global modeling and non-local filtering, such as figure 1 As shown, the method includes the following steps:

[0052] The first step is to prepare the initial data;

[0053] The initial data includes a low-resolution depth map and a high-resolution color map; the low-resolution depth map is bicubically interpolated to obtain an initial low-quality depth map;

[0054] Convert a high-resolution color image C into an undirected connection graph G: Given an undirected connection graph G=(V, E), where V is a vertex, representing all pixels on the color image; E is an edge, including The relationship between each pair of pixels.

[0055] Based on the undirected connection graph G, construct the...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/10024G06T2207/20024
Inventor 叶昕辰李豪杰樊鑫罗钟铉
Owner DALIAN UNIV OF TECH
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