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Non-rigid target scene flow estimation method based on level set function evolution in multi-view environment

A level set function, target scene technology, applied in the field of non-rigid target scene flow estimation, which can solve problems such as unevenness and discontinuous scene flow

Inactive Publication Date: 2019-06-14
XIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a non-rigid target scene flow estimation method based on level set function evolution in a multi-view environment, which solves the problem of discontinuity and non-smoothness in the existing scene flow

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  • Non-rigid target scene flow estimation method based on level set function evolution in multi-view environment
  • Non-rigid target scene flow estimation method based on level set function evolution in multi-view environment
  • Non-rigid target scene flow estimation method based on level set function evolution in multi-view environment

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Embodiment Construction

[0080] The present invention will be described in detail below in conjunction with specific embodiments.

[0081] The non-rigid target scene flow estimation method based on level set function evolution in the multi-view environment of the present invention is specifically implemented according to the following steps:

[0082] Step 1: Multi-view environment setting and preprocessing

[0083] Place nCamNum cameras around the observation scene, and use Zhang's calibration method to obtain the internal and external parameters of the camera; then use nCamNum cameras to collect background images that do not contain the target {Back 1 ,Back 2 ,...,Back j ,...,Back nCamNum }; Then the dynamic non-rigid target O is placed in the observation scene, and multiple cameras synchronously collect the moving video of the target. At time t and time t+1, the synchronously collected video frames are {I 1，t , I 2，t ,..., I j, t ,..., I nCamNum, t }, {I 1，t+1 , I 2，t+1 ,..., I j, t+1 ,..., I nCamNum, ...

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Abstract

The invention discloses non-rigid object scene flow estimation in a multi-view environment based on level set function evolution, and the estimation specifically comprises the following steps: 1, setting the multi-view environment and carrying out the preprocessing; 2, obtaining the three-dimensional shape of a static object; 3, constructing an energy functional, related with the level set function, on a time sequence; 4, obtaining the three-dimensional shape of a dynamic non-rigid target and the scene flow thereof. According to the invention, the method employs the level set function evolution to simulate the movement of the non-rigid object, and effectively drives the preliminary shape curved surface of the non-rigid object to evolve towards a target curved surface under the time-space color correlation constraint and the projection region consistency constraint. Moreover, the constraint of the features of the level set function enables the level set function to be still a level set function after evolution, thereby avoiding a new initialization of the level set function, and solving problems that the environment factors and improper calculation methods usually cause a scene flow not to be continuous and smooth and to have a hole during the conventional estimation of the scene flow of the non-rigid object.

Description

Technical field [0001] The invention belongs to the technical field of computer vision, and specifically relates to a non-rigid target scene flow estimation method based on level set function evolution in a multi-view environment. Background technique [0002] Scene flow estimation of the three-dimensional shape of a non-rigid target in a multi-view environment refers to obtaining images of the target at different viewpoints in a multi-view environment, recovering the three-dimensional shape of the target according to the principles of computer vision, and then obtaining the motion video of the target according to the multi-view environment. Computer vision and digital video processing methods estimate the three-dimensional shape of the sports field, that is, the scene flow. The 3D shape scene flow estimation method of non-rigid objects can obtain the correlation of the 3D shape of dynamic non-rigid objects at different times, so it has important applications in virtual reality a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/292G06T7/254G06T7/269G06T7/80G06T17/00
CPCG06T17/00G06T2200/08G06T2207/10016G06T2207/20224
Inventor 李秀秀郑江滨金海燕肖照林赵明华
Owner XIAN UNIV OF TECH