NDLI: Analysis of multi-resolution image registration algorithms in real time applications

Content Provider	IEEE Xplore Digital Library
Author	Ying Cui Lawrence, P.D.
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada (Ying Cui)
Abstract	As machine vision develops and shows increasing power in solving problems, it is given a more important role in many applications, such as teleoperation. One of the proposed systems is to have wide field of view and high resolution at low cost, by using slaved high resolution insert on top of a low resolution wide field of view background. In such a system, there is a need to register images with rotational/scale/translational (RST) changes introduced by two different cameras. Then two pictures are fused or projected to give a wide field of view with high resolution insert in the area of interest (AOI). For real time implementation of such software, there are a number of factors that have an impact on the performance index such as the estimation accuracy, reliability, and the computational cost. Our analysis show that the relations between these factors and the estimation performance can be quantified and used as guidelines in the implementation. Both a correlation-based approach and a feature-based approach are investigated in this paper.
Starting Page	623
Ending Page	628
File Size	694291
Page Count	6
File Format	PDF
ISBN	0780341600
DOI	10.1109/ICAR.1997.620247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Algorithm design and analysis Image registration Performance analysis Machine vision Costs Cameras Software performance Computational efficiency Guidelines
Content Type	Text
Resource Type	Article

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