Fast candidate generation for template matching using two 1-d edge projections

Authors:
Jong-Eun Ha;Dong-Joong Kang
Affiliations:
Automotive Engineering, Seoul National University of Technology, Seoul, Korea;Mechatronics Engineering, Tongmyong University of Information Technology, Busan, Korea
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

In machine vision, template matching is key component and used usefully in various tasks such as pick and place, mark identification, and alignment. In this paper, we propose fast template matching algorithm using edge projection. Proposed algorithm reduces the search problem from 2D into 1D using edge projection within the 2D template area. By this, it could effectively reduce the computational burden. Also, it gives comparable discriminating power compared to template matching using intensity. In this paper, rotation and translation search is implemented to cope with typical machine vision application where the height between camera and target object is fixed.