Monthly
288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

Spring 1989, Vol. 1, No. 1, Pages 82-91
(doi: 10.1162/neco.1989.1.1.82)
© 1989 Massachusetts Institute of Technology
Part Segmentation for Object Recognition
Article PDF (828.05 KB)
Abstract

Visual object recognition is a difficult problem that has been solved by biological visual systems. An approach to object recognition is described in which the image is segmented into parts using two simple, biologically-plausible mechanisms: a filtering operation to produce a large set of potential object “parts,” followed by a new type of network that searches among these part hypotheses to produce the simplest, most likely description of the image's part structure.