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Multiple viewpoints three-dimensional scene reconstructing method fusing single viewpoint scenario analysis and system thereof

A three-dimensional scene, multi-view technology, applied in the field of computer vision and image processing, to achieve the effect of improving speed and accuracy

Active Publication Date: 2010-06-02
PEKING UNIV +3
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Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-viewpoint three-dimensional scene reconstruction method and system based on single-viewpoint scene analysis. Based on the present invention, it can overcome the sparse matching problem caused by weak texture and the complex structure of the scene.

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[0027] In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

[0028] The invention integrates the multi-view three-dimensional reconstruction method, the single-view three-dimensional reconstruction method and the basic model database under the Bayesian framework to reconstruct the scene and objects, so as to overcome the sparse matching caused by weak texture and the complex structure of the scene. Among them, the multi-view 3D reconstruction method includes Structure From Motion (SFM, Structure From Motion) and Stereo Matching (SM, Stereo Matching), and the single-view 3D reconstruction method includes modeling based on a single image (MFSI, modeling from asingle image) .

[0029] refer to figure 1 , figure 1 It is a flow chart of the steps of the embodiment of the multi-view 3D scene ...

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Abstract

The invention discloses a multiple viewpoints three-dimensional scene reconstructing method fusing single viewpoint scenario analysis and system thereof. The method includes: multiple viewpoint based information extraction and single viewpoint based information extraction are respectively carried out on the input original image sequence to acquire initial semantic information and geometric information; parameter estimation is carried out based on prior probability model and likelihood probability model according to the initial semantic information and geometric information; and three-dimensional model of the scene in which the original image sequence is located is reconstructed according to the result of parameter estimation. The invention solves the difficult problems that sparse matching is caused by weak texture region and structure of scene is complex in the traditional reconstructing method.

Description

technical field [0001] The invention relates to the technical fields of computer vision and image processing, in particular to the problem of three-dimensional scene reconstruction, a multi-view three-dimensional scene reconstruction method and system integrating single-view scene analysis. Background technique [0002] 3D scene modeling is one of the core issues of computer graphics. The traditional method is to use 3D modeling tools such as 3dMax to manually draw the scene model. Photorealistic scene models. From the perspective of computer vision, the problem of 3D reconstruction has always been one of the core problems of computer vision theory research. Its ideal goal is to be able to recover the scene content from one image (monocular vision) or multiple images (polyocular vision). information such as size, position, and attitude in the three-dimensional space, so that the three-dimensional structure of the entire scene reflected by the image can be reconstructed. ...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06T7/00
Inventor 王亦洲张哲斌高文
Owner PEKING UNIV
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