Generic object recognition: building and matching coarsedescriptions from line drawings
Bergevin, R.
Levine, M.D.
Comput. Vision & Robotics Lab., McGill Univ., Montreal, Que.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jan 1993
Volume: 15,
Issue: 1
On page(s): 19-36
ISSN: 0162-8828
References Cited: 47
CODEN: ITPIDJ
INSPEC Accession Number: 4355583
Digital Object Identifier: 10.1109/34.184772
Current Version Published: 2002-08-06
Abstract
Primal access recognition of visual objects (PARVO), a computer
vision system that addresses the problem of fast and generic recognition
of unexpected 3D objects from single 2D views, is considered. Recently,
recognition by components (RBC), which is a new human image
understanding theory, based on some psychological results, has been
proposed as an explanation of how PARVO works. However, no systematic
computational evaluation of its many aspects has yet been reported. The
PARVO system discussed is a first step toward this goal, since its
design respects and makes explicit the main assumptions of the proposed
theory. It analyzes single-view 2D line drawings of 3D objects typical
of the ones used in human image understanding studies. It is designed to
handle partially occluded objects of different shape and dimension in
various spatial orientations and locations in the image plane. The
system is shown to successfully compute generic descriptions and then
recognize many common man-made objects
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