TY - JOUR
T1 - Two-Dimensional, Model-Based, Boundary Matching Using Footprints
AU - Kalvin, Alan
AU - Schonberg, Edith
AU - Schwartz, Jacob T.
AU - Sharir, Micha
PY - 1986/12
Y1 - 1986/12
N2 - In this paper, we describe a technique for geometrically hash ing two-dimensional model objects. Used in conjunction with other methods for recognizing partially obscured and over lapping objects, this technique enables us to recognize over lapping, two-dimensional objects selected from large data bases of model objects without significant performance degradation when the database is enlarged. This technique is based on use of a synthetic attribute of an object, which we will call its footprint. Experimental results from databases of up to 100 objects are presented.
AB - In this paper, we describe a technique for geometrically hash ing two-dimensional model objects. Used in conjunction with other methods for recognizing partially obscured and over lapping objects, this technique enables us to recognize over lapping, two-dimensional objects selected from large data bases of model objects without significant performance degradation when the database is enlarged. This technique is based on use of a synthetic attribute of an object, which we will call its footprint. Experimental results from databases of up to 100 objects are presented.
UR - http://www.scopus.com/inward/record.url?scp=0022906174&partnerID=8YFLogxK
U2 - 10.1177/027836498600500403
DO - 10.1177/027836498600500403
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AN - SCOPUS:0022906174
VL - 5
SP - 38
EP - 55
JO - International Journal of Robotics Research
JF - International Journal of Robotics Research
SN - 0278-3649
IS - 4
ER -