STEREO MATCHING USING SIFT AND ROTATION INVARIANT UNIFORM LTP

摘要：

This paper presents a novel method for stereo matching. We introduce the extension version of the well-known local binary pattern (LBP) feature called local ternary pattern (LTP) serving as s distinctive local descriptor of local image feature point region detected by the scale invariant feature transformation (SIFT) detector. In our experiments, our descriptor combined with the advantage of SIFT and rotation invariant uniform LTP performs favourably compared to SIFT and LBP, and computes more efficient than SIFT.

关键词： Stereo matching Local binary pattern Local ternary pattern Scale invariant feature transformation Local descriptor

作者: Jin-Song Liu Si-Cong Yuan

作者单位: Department of Mechanical & Electrical Engineering, Xi’an University of Architecture & Technology, Xi’an, 710055, China.

会议类型: 国际会议

会议名称: The International Conference on Advanced Technology of Design and Manufacture 2010(2010先进设计与制造技术国际研讨会)

会议地点: 北京

会议语种:英文

页码: 209-213

在线出版日期: 2010-11-23（万方平台首次上网日期，不代表论文的发表时间）