ENGLISH

Theoretical Foundations of Computer Vision

By Dr. K. Daniilidis (auth.) , Prof. Dr. W. Kropatsch , Prof. Dr. R. Klette , Prof. Dr. F. Solina , Prof. Dr. R. Albrecht (eds.)

Book information

Publisher
Springer-Verlag Wien
Year
1996
ISBN
978-3-211-82730-7, 978-3-7091-6586-7
DOI
10.1007/978-3-7091-6586-7
Language
english
Format
PDF
Filesize
5 MB (5160897 bytes)
Series
Computing Supplement 11
Edition
1
Pages
257\259
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
generalImage Processing and Computer Vision; Pattern Reco

Description

Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and understanding. It serves tasks like manipulation, recognition, mobility, and communication in diverse application areas such as manufacturing, robotics, medicine, security and virtual reality. This volume contains a selection of papers devoted to theoretical foundations of computer vision covering a broad range of fields, e.g. motion analysis, discrete geometry, computational aspects of vision processes, models, morphology, invariance, image compression, 3D reconstruction of shape. Several issues have been identified to be of essential interest to the community: non-linear operators; the transition between continuous to discrete representations; a new calculus of non-orthogonal partially dependent systems.

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