TY - GEN
T1 - Polygonal object recognition
AU - Schreiber, Ilan
AU - Ben-Bassat, Moshe
PY - 1990
Y1 - 1990
N2 - A technique for recognizing a 2-D unoccluded polygonal object by combining the alignment method with efficient string matching algorithms is presented. The approach is based on a single anchor point: the gravitation center of the contour of the object (GCC). The GCC is stable and insensitive to digitization errors, and it can always be found and calculated very efficiently. Additionally, it is universal and does not depend on the specific library of known objects. In this approach, most of the work is done in the preprocessing stage, when all of the library objects are transformed into a GCC canonical representation form. For the recognition stage, the canonical representation of the unknown object concatenated to itself is considered as a 'text' and the canonical representation of the known library objects as a set of 'words.' The recognition problem is then reduced to finding all of the occurrences of the 'words' in the 'text,' for which an efficient O(n) algorithm is introduced, where n is the order of the polygon being recognized. This approach was evaluated with several sets of objects from different fields, and very satisfactory results were obtained.
AB - A technique for recognizing a 2-D unoccluded polygonal object by combining the alignment method with efficient string matching algorithms is presented. The approach is based on a single anchor point: the gravitation center of the contour of the object (GCC). The GCC is stable and insensitive to digitization errors, and it can always be found and calculated very efficiently. Additionally, it is universal and does not depend on the specific library of known objects. In this approach, most of the work is done in the preprocessing stage, when all of the library objects are transformed into a GCC canonical representation form. For the recognition stage, the canonical representation of the unknown object concatenated to itself is considered as a 'text' and the canonical representation of the known library objects as a set of 'words.' The recognition problem is then reduced to finding all of the occurrences of the 'words' in the 'text,' for which an efficient O(n) algorithm is introduced, where n is the order of the polygon being recognized. This approach was evaluated with several sets of objects from different fields, and very satisfactory results were obtained.
UR - http://www.scopus.com/inward/record.url?scp=0025545984&partnerID=8YFLogxK
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AN - SCOPUS:0025545984
SN - 0818620625
T3 - Proceedings - International Conference on Pattern Recognition
SP - 852
EP - 859
BT - Proceedings - International Conference on Pattern Recognition
PB - Publ by IEEE
Y2 - 16 June 1990 through 21 June 1990
ER -