@inproceedings{sdtb_accv95, author = "Dal-Zilio, S. and Bernard, T.M.", title = "Learning Binary Shapes as Compression, and its Cellular Implementation", booktitle = "Proc. Asian Conf. on Computer Vision", address = "Singapore", pages = "II:616-620", month = dec, year = 1995 }
Abstract
We present a methodology to learn how to recognize binary shapes, based on the
principle that recognition may be understood as a process of information
compression. Our approach, directed towards adaptive target tracking
applications, is intended to be well suited to fine-grained parallel
architectures, such as cellular automata machines that can be integrated in
artificial retinas. This methodology, fruitfully explained within the frame of
mathematical morphology, is then particularized in the perspective of its
actual implementation.
Paper (PostScript format compressed with gzip) -> paper.ps.gz (about 47K)
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