Real time non-rigid surface detection based on binary robust independent elementary features

 

Chuin-Mu Wang*

 

Department of Computer Science and Information Engineering, National Chinyi, University of Technology, Taiping, Taiwan. *Correponding author. E-mail address: cmwang@ncut.edu.tw.

 

Abstract

The surface deformation detection of an object has been a very popular research project in recent years; in human vision, we can easily detect the location of the target and that scale of the surface rotation, and change of the viewpoint makes the surface deformation, but in a vision of the computer is a challenge. In those backgrounds of questions, we can propose a framework that is the surface deformation, which is based on the detection method of BRIEF to calculate object surface deformation. But BRIEF calculation has some problem that can't rotate and change character; we also propose a useful calculation method to solve the problem, and the method proved by experiment can overcome the problem, by the way, it's very useful. The average operation time every picture in continuous image is 50~80 ms in 2.5 GHz computer, let us look back for some related estimation technology of surface deformation, and there are still a few successful project that is surface deformation detection in the document.

Keywords: BRIEF descriptor; Binary descriptor; Non-rigid surface; Deformation detection.

 

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