Title :
OpenSURF Algorithm Improvement for Augmented Reality Based on the Natural Features
Author :
Yang, Jin ; Zhu, Fang-wen ; Yuan, Zheng-peng ; Zhang, Shi-Hui ; He, Xu-dong
Author_Institution :
Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
Abstract :
In the field of computer vision, image matching is very important in many applications, such as the object recognition, 3D reconstruction, stereo vision, motion tracking and augmented reality. A method of improving the Opensurf algorithm used in AR for decreasing matching points and mismatch and increasing the calculation speed is proposed.
Keywords :
augmented reality; computer vision; image matching; 3D reconstruction; AR; OpenSURF algorithm improvement; augmented reality; calculation speed; computer vision; image matching; motion tracking; natural features; object recognition; stereo vision; Augmented reality; Cameras; Computer vision; Educational institutions; Feature extraction; Kernel; Vectors; Augmented Reality; Opensurf; RANSAC; k-d trees;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.21
