Vision-List-Request@ADS.COM (Vision-List moderator Phil Kahn) (03/14/91)
Archive-name: ai/vision/object-recognition-survey/1991-03-13
Original-posting-by: Vision-List-Request@ADS.COM (Vision-List moderator Phil Kahn)
Original-subject: TR available: Object Recogntion, A Survey of the Literature
Reposted-by: emv@msen.com (Edward Vielmetti, MSEN)
VISION-LIST Digest Wed Mar 13 15:44:04 PDT 91 Volume 10 : Issue 12
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Today's Topics:...[edited severely for brevity. --Ed]
TR available: Object Recognition, A Survey of the Literature
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Date: Wed, 13 Mar 91 12:54:57 EST
From: len@retina.mqcs.mq.oz.au (Len Hamey)
Subject: TR available: Object Recognition, A Survey of the Literature
Object Recognition, A Survey of the Literature
Chris G Perrott and Leonard G C Hamey
Macquarie Computing Reports 91-0065C.
Abstract
This paper surveys the techniques which have been applied to the problem of
recognising three-dimensional objects in two-dimensional images. Human vision
was discussed in the works of the ancient Greek philosophers, and has also been
of interest to modern philosophers. The Gestalt school of psychology in the
early part of the twentieth century provided a number of useful insights into
human perception.
Computer vision research effectively started with the pioneering work of
Roberts, who built a program capable of recognising simple objects in a blocks
world. The blocks world paradigm provides a simplified model in which new
approaches can be tested, and has been adopted from time to time by a number
of researchers.
The dominant paradigm in modern computer vision research is that
pioneered by Marr, and known as inverse optics or the Marr paradigm. In this
approach, edges, surfaces and depth cues are identified before object
recognition is attempted. Central problems in much of this work are edge
detection and region segmentation, which have proved to be more difficult
than was anticipated by early researchers. The results achieved up till
now suggest that it may not be possible to perform a perfect segmentation of
the image before proceeding to higher level processing.
Recently some researchers have investigated the use of cues from
perceptual organisation in order to perform object recognition without
using complete depth information. The perceptual organisation approach
promises to reduce the amount of computation that has to be performed.
This would be highly desirable since it is widely believed that a practical
computer vision system for processing natural scenes would require many
Gflops of processing power.
To request a copy of this technical report, please send e-mail containing
your name and physical mail address to len@retina.mqcs.mq.oz.au.
Please include "TR request" in the subject line.
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End of VISION-LIST digest 10.12
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