A Two-Layer Descriptor and Two-Step Matching for Stereoscopic Images

Author

Cheng-Liang Lin ; Liang-Hao Wang ; Dong-Xiao Li ; Ming Zhang

Author_Institution

Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China

fYear

2013

fDate

21-23 Sept. 2013

Firstpage

1390

Lastpage

1393

Abstract

Among all the feature matching algorithms, SURF is famous for its computation efficiency in lots of practical applications. For recently popular stereoscopic videos, sparse feature matching, in which SURF is usually adopted, is the pre-processing of adjusting the 3D effect. However, significant improvement still can be made for SURF in stereo images. In this paper, a new two-layer feature descriptor and the corresponding two-step matching method which is based on the stereo images is proposed. Experimental results show that the proposed algorithm achieves comparable or even better performance of matching at much less time compared against the SURF in stereo images.

Keywords

image matching; stereo image processing; 3D effect; SURF; sparse feature matching; stereoscopic images; two-layer feature descriptor; two-step matching; Computer vision; Feature extraction; Matched filters; Stereo image processing; Three-dimensional displays; Videos; stereo image; two-layer descriptor; two-step match;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/IMCCC.2013.310

Filename

6840700