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