Share Email Print
cover

Proceedings Paper

Robust template matching algorithm with multi-feature using best-buddies similarity
Author(s): Jiang Supeng; Xiang Wei; Yunpeng Liu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In order to solve the problem of matching failure of BBS (Best-Buddies Similarity) algorithm when the target image has a partial occlusion, cluttered background, imbalance illumination, and nonrigid deformation. A multi-feature template matching algorithm based on the BBS algorithm is proposed in this paper. On the basis of the location features and appearance features, we add HOG (Histogram of Oriented Gradients) features to make full use of the color, position and structural contour of the target image to match. In addition, we also perform mean filtering on the confidence map. The experimental results show that the AUC (Area Under Curve) score of the proposed algorithm is 0.6119, which is 6.38% higher than the BBS algorithm. Moreover, our algorithm has stronger robustness and higher matching accuracy.

Paper Details

Date Published: 31 January 2020
PDF: 6 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114271Y (31 January 2020);
Show Author Affiliations
Jiang Supeng, Shenyang Institute of Automation/Institutes for Robotics and Intelligent Manufacturing (China)
Univ. of Chinese Academy of Sciences (China)
Key Labs. of Opto-Electronic Information Processing/Image Understanding and Computer Vision (China)
Xiang Wei, Shenyang Institute of Automation/Institutes for Robotics and Intelligent Manufacturing (China)
Key Labs. of Opto-Electronic Information Processing/Image Understanding and Computer Vision (China)
Yunpeng Liu, Shenyang Institute of Automation/Institutes for Robotics and Intelligent Manufacturing (China)
Key Labs. of Opto-Electronic Information Processing/Image Understanding and Computer Vision (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray