3D reconstruction based on SIFT and Harris feature points

Authors:
Keju Peng;Xin Chen;Dongxiang Zhou;Yunhui Liu
Affiliations:
College of Electronic Science and engineering, National University of Defense Technology, Changsha, China;College of Electronic Science and engineering, National University of Defense Technology, Changsha, China;College of Electronic Science and engineering, National University of Defense Technology, Changsha, China;Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

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Abstract

This paper presents a new 3D reconstruction method using feature points extracted by the SIFT and Harris corner detector. Since the SIFT feature points can be detected stably and relatively accurately, the proposed algorithm first uses the SIFT matching points to calculate the fundamental matrix. On the other hand many of the feature points detected by the SIFT are not what we need for reconstruction, so by combining the SIFT feature points with the Harris corners it is possible to obtain more vivid and detailed 3D information. Experiments have been conducted to validate the proposed method.