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Biologically motivated computer vision : First IEEE International Workshop, BMCV 2000, Seoul, Korea, May 15-17, 2000 : proceedings

Author: S -W Lee; Heinrich H Bülthoff; Tomaso Poggio; LINK (Online service)
Publisher: Berlin ; New York : Springer, ©2000.
Series: Lecture notes in computer science, 1811.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:
This book constitutes the refereed proceedings of the First IEEE/CS International Workshops on Biologically Motivated Computer Vision, BMCV 2000, held in Seoul Korea in May 2000. The 56 revised papers presented together with eight invited papers were carefully reviewed and selected from 90 full paper submissions. The book is divided in topical sections on segmentation, detection, and object recognition;  Read more...
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Genre/Form: Online resources
Electronic books
Conference proceedings
Congresses
Additional Physical Format: Print version:
IEEE Computer Society International Workshop on Biologically Motivated Computer Vision.
Biologically motivated computer vision.
Berlin ; New York : Springer, c2000
(OCoLC)43978207
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: S -W Lee; Heinrich H Bülthoff; Tomaso Poggio; LINK (Online service)
ISBN: 9783540454823 3540454829
OCLC Number: 213932089
Description: 1 online resource (xiv, 656 p.) : ill.
Series Title: Lecture notes in computer science, 1811.
Other Titles: BMCV 2000, biologically motivated computer vision
Responsibility: Seong-Whan Lee, Heinrich H. Bülthoff, Tomaso Poggio (eds.).

Abstract:

This book constitutes the refereed proceedings of the First IEEE/CS International Workshops on Biologically Motivated Computer Vision, BMCV 2000, held in Seoul Korea in May 2000. The 56 revised papers presented together with eight invited papers were carefully reviewed and selected from 90 full paper submissions. The book is divided in topical sections on segmentation, detection, and object recognition; computational models; active and attentive vision; ICA and space-variant imaging; and neural networks and applications.

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