TY - GEN
T1 - Fast candidate generation for template matching using two 1-D edge projections
AU - Ha, Jong Eun
AU - Kang, Dong Joong
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/33745630975
U2 - 10.1007/11589990_184
DO - 10.1007/11589990_184
M3 - Conference contribution
AN - SCOPUS:33745630975
SN - 3540304622
SN - 9783540304623
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1267
EP - 1271
BT - AI 2005
T2 - 18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
Y2 - 5 December 2005 through 9 December 2005
ER -