DocumentCode :
1720592
Title :
An improved algorithm for panoramic image matching
Author :
Wang Kai-yu ; Xia Gui-hua ; Zhu Qi-dan ; Yu Yong-tao ; Wu Ye-bin
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2013
Firstpage :
4753
Lastpage :
4757
Abstract :
Aim to the disadvantage of traditional panoramic image feature extraction and matching algorithm, such as huge data processing and low time efficiency, an improved panoramic image feature extraction and matching algorithm base on SURF and improved KD tree search is proposed. Firstly, SURF is used to extract feature point and generate feature description, secondly, the KD tree search method with high efficiency is used to match feature point, and an improved KD tree search method is proposed to avoid wrong matching. Simulation and experiment results in case of translation and rotation indicate that the proposed algorithm owns better efficiency, accuracy and robust property.
Keywords :
feature extraction; image matching; tree searching; SURF; data processing; feature description generation; feature point extraction; feature point matching; improved KD tree search method; panoramic image feature extraction; panoramic image matching algorithm; speeded up robust features; Accuracy; Algorithm design and analysis; Feature extraction; Filtering theory; Robot kinematics; Robustness; KD tree; SURF; feature extraction and matching; panoramic image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640260
Link To Document :
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