Computer and robot vision, Volume 2

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Addison-Wesley Pub. Co., 1993 - Computers - 630 pages
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This two-volume set is an authoritative, comprehensive, modern work on computer vision that covers all of the different areas of vision with a balance and unified approach. Volume II covers the higher level techniques of illumination, perspective projection, analytical photogrammetry, motion, image matching, consistent labeling, model matching, and knowledge based vision systems.Both volumes of Computer and Robot Vision address the growing and rapidly evolving area of computer vision with depth and breadth and explore details and specific algorithms not available in most competing texts.

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Change detection in aerial images - Computer and Robot Vision ...
Computer and Robot Vision, Volume I, ... Proceedings of the First Canadian Conference on Computer and Robot Vision (CRV’04). 0-7695-2127-4/04 $20.00 © 2004 ... iel5/ 9122/ 28918/ 01301467.pdf?arnumber=1301467

Computer and Robot Vision, 1st edition
Computer and Robot Vision, 1st edition. Purchase this Book. Source. Pages: 630. Medium: Textbook Hardcover. Year of Publication: 1992. ISBN:0201569434 ... citation.cfm?id=573190

Computer and Robot Vision II
Computer and Robot Vision II. Chapter 0. Presented by: 傅楸善 & 顏慕帆 ... rm Haralick and lg Shapiro, Computer and Robot Vision, Vol II Addison Wesley, ... ~fuh/ vcourse/ haralick/ chapter11.5.ppt

Mathematical Morphology Reading for Today’s Lecture Reading for ...
[Jain, Kasturi, and Schunck (1995). Machine Vision, Ch. 2. ] Dilation Results. [Haralick and Shapiro (1993). “Computer and Robot Vision,” Ch. 5 ] ... ~alex/ classes/ 2007_Spring_575X/ slides/ 04_MathematicalMorphology.pdf

Robert Haralick - Wikipedia, the free encyclopedia
Jason Aronson. ISBN 1-56821-356-5. Haralick, Robert M.; and Shapiro, Linda G. (2002). Computer and Robot Vision (Volume I). Addison Wesley Longman. ... wiki/ R_M_Haralick

Computer and Robot Vision I
Computer and Robot Vision I. Chapter 0. Presented by: 傅楸善& 顏慕帆. 0933 373 485 .... rm Haralick and lg Shapiro, Computer and Robot Vision, Vol. ... ~William%20Hsu/ course/ cv/ _private/ CV1_CH1.ppt

CSE803 Computer Vision
rm Haralick and lg Shapiro, Computer and Robot Vision, Vol. I, Addison-Wesley, 1992. 9. rm Haralick and lg Shapiro, Computer and Robot Vision, Vol. ... ~cse803/ syllabus.pdf

Bibliography on Image Processing, Pattern Recognition & Neural ...
rm Haralick and lg Shapiro, Computer and Robot Vision, volume I, Addison-Wesley, Reading, 1992. rm Haralick and lg Shapiro, Computer and Robot Vision, ... ~bebis/ CS679/ ipprbib.html

Image processing apparatus - US Patent 6914599
“Computer and Robot Vision Volume 1” rm Haralick et al., Addison-Wesley Publishing Company, 1992, ISBN 0-201-10877-1 (v. 1), Section 11.4 & Section 8. ... patents/ 6914599-claims.html

CS5814 Digital Picture Processing Syllabus
Haralick, rm and Shapiro, lg, Computer and Robot Vision, Volume 1, Addison-Wesley, 1992. Haralick, rm and Shapiro, lg, Computer and Robot Vision, Volume 2, ... courses/ syl/ cs5814syl.html

About the author (1993)

LINDA G. SHAPIRO is Professor of Computer Science and Engineering and Professor of Electrical Engineering at the University of Washington. She earned a bachelor's degree in mathematics from the University of Illinois in 1970 and master's and Ph.D. degrees in computer science from the University of Iowa in 1972 and 1974, respectively. She taught at Kansas State University and at Virginia Polytechnic Institute and State University and served as Director of Intelligent Systems at Machine Vision International before joining the University of Washington in 1986. Professor Shapiro is past editor-in-chief of the journal Image Understanding and is a member of the editorial boards of Computer Vision and Image Understanding and of Pattern Recognition. She has served on the program committees of many computer vision workshops and conference and is co-author of the text, "Computer and Robot Vision" with Robert M. Haralick. She was elected a Fellow of the IEEE in 1995, and a Fellow of the International Association for Pattern Recognition in 2000.

GEORGE C. STOCKMAN received the B.S. degree in Mathematics-Education from East Stroudsburg State University in 1966, the MAT degree from Harvard in 1967, the M.S. degree in computer science from Penn State in 1971, and the Ph.D. degree in computer science from The University of Maryland in 1977. Currently he is a Professor of Computer Science and Engineering at Michigan State University, where he joined the faculty in 1982. From 1974 to 1982, he worked as a Research Scientist for LNK Corporation on problems in image analysis and computer cartography. At MSU he teaches programming and data structures as well as computer vision and computer graphics.Professor Stockman has been active in many activities of the IEEE, including workshops on the teaching of computing with images.

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