Introduction

David Forsyth, Joe Mundy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Our understanding of object recognition can address the needs of only the most stylised applications. There is no prospect of the automated motorcars of Dickmanns et al. knowing what is in front of them anytime soon; searchers for pictures of the pope kissing a baby must search on a combination of text, guesswork and patience; current vision based HCI research relies on highly structured backgrounds; and we may safely guess that the intelligence community is unlikely to be able to dispense with image analysts anytime soon. This volume contains a series of contributions that attack important problems in recognition.

Original languageEnglish (US)
Title of host publicationShape, Contour and Grouping in Computer Vision
EditorsDavid A. Forsyth, Joseph L. Mundy, Vito di Gesu, Roberto Cipolla
PublisherSpringer-Verlag Berlin Heidelberg
Pages3-8
Number of pages6
ISBN (Print)3540667229, 9783540667223
DOIs
StatePublished - Jan 1 1999
EventInternational Workshop on Shape, Contour and Grouping in Computer Vision - Palermo, Sicily, Italy
Duration: May 26 1998May 29 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1681
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshop on Shape, Contour and Grouping in Computer Vision
CountryItaly
CityPalermo, Sicily
Period5/26/985/29/98

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Forsyth, D., & Mundy, J. (1999). Introduction. In D. A. Forsyth, J. L. Mundy, V. di Gesu, & R. Cipolla (Eds.), Shape, Contour and Grouping in Computer Vision (pp. 3-8). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1681). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/3-540-46805-6_1