TY - GEN
T1 - Affine invariant recognition of 2D occluded objects using geometric hashing and distance transformation
AU - Au, Albert T S
AU - Tsang, Peter W M
PY - 1996
Y1 - 1996
N2 - An efficient approach for recognition of partially occluded objects from 2-D grey level images is presented. It can be divided into three stages. The pre-processing stage includes local feature extraction from 2-D grey level images and the formation of hash table. In the recognition stage, geometric hashing technique is used to vote for the point correspondences between the scene and the models. Finally, distance transformation is employed for verification. An average mismatch distance is defined to measure the goodness of the match quantitatively. The approach has been successfully tested on recognizing a number of industrial handtools overlapping each other.
AB - An efficient approach for recognition of partially occluded objects from 2-D grey level images is presented. It can be divided into three stages. The pre-processing stage includes local feature extraction from 2-D grey level images and the formation of hash table. In the recognition stage, geometric hashing technique is used to vote for the point correspondences between the scene and the models. Finally, distance transformation is employed for verification. An average mismatch distance is defined to measure the goodness of the match quantitatively. The approach has been successfully tested on recognizing a number of industrial handtools overlapping each other.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0030313455&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 1
SP - 64
EP - 67
BT - IEEE Region 10 Annual International Conference, Proceedings/TENCON
PB - IEEE
T2 - 1996 IEEE Region 10 Conference on Digital Signal Processing Applications (TENCON 96)
Y2 - 26 November 1996 through 29 November 1996
ER -