Next:Introduction
A radial cumulative similarity transform for robust image correspondence
T. Darrell
Interval Research Corp.
1801C Page Mill Road
Palo Alto CA 94304
trevor@interval.com
http://www.interval.com/papers/1997-090
[
Click here for a compressed PostScript version of this report ]
[
Click here for a PDF version of this report ]
[
Click here for HTML version of related Powerpoint slides ]
Abstract:
We develop a local image-correspondence algorithm
which performs well near occluding boundaries. Unlike traditional robust
methods, our method can find correspondences when the only contrast present
is the occluding boundary itself and when the sign of contrast along the
boundary is possibly reversed. We define a new image transform which characterizes
local image homogeneity, defined as an attribute value in a central region
and a function describing the surrounding local similarity structure. In
this paper we use radial similarity functions and color attributes; within
each window we compute the central color and an image with the cumulative
probability that color is unchanged along a ray from the center to a given
point in the window. This representation is insensitive to structure outside
an occluding boundary, but can model the boundary itself. We show comparative
results tracking finger, mouth, and eye features.
A shorter version of this paper appears in Proceedings of the Conference
on Computer Vistion and Pattern Recognition, pp. 656-662, Santa Barbera,
June 1998
©1998 IEEE. Personal use of this material is permitted. However,
permission to reprint/republish this material for advertising or promotional
purposes or for creating new collective works for resale or redistribution
to servers or lists, or to reuse any copyrighted component of this work
in orther works must be obtained from the IEEE.
Next:Introduction
Trevor Darrell
9/9/1998