Three-dimensional scene reconstruction method of two-dimensional image group

A three-dimensional scene and two-dimensional image technology, applied in the field of three-dimensional reconstruction, can solve the problem of lack of local three-dimensional reconstruction effect, achieve good sensory cognitive effect, and reduce the effect of model error

Inactive Publication Date: 2010-11-03
INST OF AUTOMATION CHINESE ACAD OF SCI
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The prior information used in the existing 3D reconstruction is all objective information, and there is still a

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  • Three-dimensional scene reconstruction method of two-dimensional image group
  • Three-dimensional scene reconstruction method of two-dimensional image group
  • Three-dimensional scene reconstruction method of two-dimensional image group

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[0018] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0019] According to the characteristics of human visual cognition, the evaluation of visual attention is determined for each point in the image used for reconstruction. The feature points are extracted on the two-dimensional image, and the feature points are matched between the images. In the matching, the matching degree is weighted by the visual attention of the feature points, and the feature points with high visual attention are preferentially selected for matching. Calculate the optimized 3D model with matched point pairs. The weighting of visual attention is introduced in the consistency evaluation of isotropic projection in the optimization ...

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Abstract

The invention discloses a three-dimensional scene reconstruction method of a two-dimensional image group, and the method comprises the following steps: S1: inputting each image in the image group and calculating vision attention evaluation of each pixel; S2: extracting scale-invariant feature transform feature points on the input images of the image group, matching and selecting the feature points on any two images in the image group to obtain matched feature points, wherein the matching and selecting principles include feature space similarity of a feature point pair and the obtained vision attention corresponding to the obtained feature points; S3: evaluating camera parameters by utilizing the obtained matched feature points; and S4: solving an optimized three-dimensional scene model by using the selected matched feature point pairs, the attention evaluation corresponding to the feature points and the camera parameters obtained by the evaluation.

Description

technical field [0001] The invention relates to a three-dimensional reconstruction method from a two-dimensional image group to a three-dimensional scene model. Background technique [0002] 3D scene reconstruction is a core content in the field of computer vision, and has a wide range of application values ​​in computer animation, electronic entertainment, virtual display and other fields. Research institutions and scholars at home and abroad have carried out extensive research on this. [0003] In the 1980s, Marr from the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology proposed a visual computing theory and applied it to binocular matching, so that two plane images with parallax could produce stereoscopic images in depth, which established the development theory of binocular stereo vision. Base. Early 3D scene reconstruction mainly recovered the 3D information of the scene based on multiple images taken from different angles of the same sc...

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Application Information

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IPC IPC(8): G06T17/00G06T15/00
Inventor 徐常胜张奕程健卢汉清
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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