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Multi-view depth map enhancing system based on total probabilistic models

A technology of full probability model and enhancement system, which is applied in the field of multi-viewpoint depth map enhancement system based on full probability model, which can solve problems such as layer blur and depth map continuity defects

Active Publication Date: 2015-01-28
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] In order to solve the problems of continuity defects and blurred layers of the depth map used in the depth-based image rendering technology, the present invention provides a depth map enhancement system based on a full probability model, which improves the synthesis effect

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  • Multi-view depth map enhancing system based on total probabilistic models
  • Multi-view depth map enhancing system based on total probabilistic models
  • Multi-view depth map enhancing system based on total probabilistic models

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Embodiment Construction

[0039] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0040] figure 1 It is a flowchart of the present invention, comprising the following steps:

[0041] The first step: image preprocessing: perform superpixel clustering on high (ultra) clear images;

[0042] The second step: color information clustering

[0043] Step S1: Use the Dirichlet mixture model to simulate the distribution of superpixels, obtain the probability density function of superpixels, and obtain the responsibility matrix R (S) , whose elements represent the probability that each superpixel belongs to each cluster, and complete the color information clustering;

[0044] Step 3: In-depth information clustering and enhancement

[0045] Step S2: The clustering results obtained in step S1 are also applied to the depth map, and the Gaussian mixture model is used to simulate the depth vector distribution to obtain its probability ...

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Abstract

The embodiment of the invention discloses a multi-view depth map enhancing system based on total probabilistic models. The system comprises the following steps: preprocessing an image; aggregating pixel vectors into superpixel vectors; classifying color information; utilizing a Dirichlet mixed model to simulate distribution of the superpixel vectors, and utilizing a variational method to estimate a model parameter to obtain a probability density function of the superpixel vectors, and carrying out classification according to the probability; classifying and enhancing depth information; utilizing a Gaussian mixture model to simulate distribution of the depth map pixel vectors, utilizing the variational method to estimate a model parameter, carrying out sub-classification on depth map pixels according to the obtained probability density function, updating depth values of the pixels into depth mean values in the categories of the pixels, and completing the depth map enhancement. By means of the multi-view depth map enhancing system based on total probabilistic models, a depth map cleaner in levels and compacter in structure can be obtained, so that the multi-view image synchronizing quality based on depth drawing is improved, and great practical value is achieved.

Description

technical field [0001] The invention relates to the improvement of a multi-viewpoint image synthesis method, emphatically describing a depth map enhancement system based on a full probability model, so as to achieve the purpose of improving the multi-viewpoint image synthesis quality. Background technique [0002] As 3D technology gradually enters people's lives, multi-viewpoint video, as a new digital media that emerges at the historic moment, has attracted more and more attention from everyone. Multi-viewpoint video is to place multiple cameras in different perspectives of a scene, which can restore the scene more realistically and vividly, and provide users with interactive operation functions. However, if this 3D video representation method is to be applied to multimedia services such as Free Viewpoint Television (FTV), telemedicine, and blended video conferencing, the image quality and video continuity need to meet higher standards. [0003] Due to the limitation of th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N13/00
Inventor 马占宇黄迪
Owner BEIJING UNIV OF POSTS & TELECOMM
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