Share Email Print

Proceedings Paper

Stereo matching based 3D model reconstruction
Author(s): Lijie Yuan; Yun Tie; Lin Qi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

To acquire the precise 3D space information, this paper proposed a stereo matching method based on key region to obtain 3D models. Firstly, we extract matched feature points by creating nonlinear scale spaces with efficient local feature descriptors. Subsequently, object areas are localized based on these feature points using an improved region growing algorithm. Finally, we utilize an improved stereo matching method with three different pixel features matching costs and the non-local cost aggregation to compute the disparity map. The original 3D position information of the corresponding area can be computed by the map. The accuracy and efficiency of the proposed method are evaluated quantitatively on benchmark data.

Paper Details

Date Published: 9 August 2018
PDF: 7 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063A (9 August 2018); doi: 10.1117/12.2502843
Show Author Affiliations
Lijie Yuan, Zhengzhou Univ. (China)
Yun Tie, Zhengzhou Univ. (China)
Lin Qi, Zhengzhou Univ. (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

© SPIE. Terms of Use
Back to Top