3-D model matching based on distributed estimation algorithm

Authors:
Chen Ying;Ji Zhicheng;Hua Chunjian
Affiliations:
School of Communication and Control Engineering, Jiangnan University, Wuxi;School of Communication and Control Engineering, Jiangnan University, Wuxi;School of Mechanical Engineering, Jiangnan University, Wuxi
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 3
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Abstract

In a three-dimensional (3-D) model-based objects tracking and recognition system, the key problem of objects location is to establish the relationship between 2-D objects image and 3-D model. Based on 3-D model projection and 2-D image feature extraction, a modified Hausdorff distance is used to establish the matching function. The relationship between matching parameters are described with a probability model, and the distribution of parameter evolves towards the direction of dominant character through probability model learning and the corresponding operation, which is proposed to solve the problem of overmany iteration and slow constringency velocity The experiments show that the optimal matching parameters between 3-D model and 2-D image feature can be found accurately and efficiently, and then the accurate object location is completed.