NDLI: Perceptual completion of occluded surfaces

Content Provider	IEEE Xplore Digital Library
Author	Williams, L.R. Hanson, A.R.
Copyright Year	1994
Description	Author affiliation: NEC Res. Inst., Princeton, NJ, USA (Williams, L.R.)
Abstract	Researchers in computer vision have primarily studied the problem of visual reconstruction of environmental structure that is plainly visible. In this paper, the conventional goals of visual reconstruction are generalized to include both visible and occluded forward facing surfaces. This larger fraction of the environment is termed the anterior surfaces. In this paper, we show that the boundaries of the anterior surfaces can be represented in viewer-centered coordinates as a labeled knot diagram. Where boundaries are not occluded and where surface reflectance is distinct from that of the background, boundaries will be marked by image contours. However, where boundaries are occluded, or where surface reflectance matches background reflectance, there will be no detectable luminance change in the image. Deducing the complete image trace of the boundaries of the anterior surfaces under these circumstances is termed the figural completion problem. The second half of this paper describes a computational theory of figural completion. A working model is demonstrated on a variety of illusory contour displays. The experimental system employs a two stage process of completion hypothesis and combinatorial optimization. The labeling scheme is enforced by integer linear inequalities so that the optimal feasible solution of an integer linear program defines a typologically valid surface organization.<>
Starting Page	104
Ending Page	112
File Size	913152
Page Count	9
File Format	PDF
ISBN	0818658258
ISSN	10636919
DOI	10.1109/CVPR.1994.323803
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integer programming Machine vision Linear programming Optical reflection Image reconstruction
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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