An Iterative Image Registration Technique with an Application to Stereo Vision

An Iterative Image Registration Technique with an Application to Stereo Vision (1981)

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by Bruce D. Lucas , Takeo Kanade

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Datum	Value	Source
TITLE	An Iterative Image Registration Technique with an Application to Stereo Vision	user correction - Legacy Corrections
AUTHOR NAME	Bruce D. Lucas	user correction - Legacy Corrections
AUTHOR AFFIL	Computer Science Department; Carnegie-Mellon University	user correction - Legacy Corrections
AUTHOR ADDR	Pittsburgh, Pennsylvania 15213	user correction - Legacy Corrections
AUTHOR NAME	Takeo Kanade	user correction - Legacy Corrections
AUTHOR AFFIL	Computer Science Department; Carnegie-Mellon University	user correction - Legacy Corrections
AUTHOR ADDR	Pittsburgh, Pennsylvania 15213	user correction - Legacy Corrections
ABSTRACT	Image registration finds a variety of applications in computer vision. Unfortunately, traditional image registration techniques tend to be costly. We present a new image registration technique that makes use of the spatial intensity gradient of the images to find a good match using a type of Newton-Raphson iteration. Our technique is faster because it examines far fewer potential matches between the images than existing techniques. Furthermore, this registration technique can be generalized to handle rotation, scaling and shearing. We show show our technique can be adapted for use in a stereo vision system. 1. Introduction Image registration finds a variety of applications in computer vision, such as image matching for stereo vision, pattern recognition, and motion analysis. Untortunately, existing techniques for image registration tend to be costly. Moreover, they generally fail to deal with rotation or other distortions of the images. In this paper we present a new image registratio...	user correction - Legacy Corrections
YEAR	1981	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	674--679	INFERENCE
CITATIONS	7 found	ParsCit 1.0