Synopsis
Paperback. Pub Date :2012-01-01 Pages: 665 Language: Chinese Publisher: Tsinghua University Press Product Name: Computer Vision : Algorithms and Applications Author: (U.S. ) Kayseri Chomsky (Richard Szeliski) ISBN Number: 9787302269151 Press : Tsinghua University Press. commodity type : Book published :2012 -01-01 printing date :2012 -01-01 ] [ Editors' Choices . computer Vision : Algorithms and Applications theme and features : scheduling structure active classroom atmosphere conducive for project -oriented courses . for a variety of specific programs to provide a computer Vision : Algorithms and Applications prompt at the end of each chapter using exercises with emphasis on algorithm testing . focusing on containing a large number of suggestions for small midterm topics. The appendices provide additional supplemental material and a more detailed mathematical knowledge intr...
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Computer Vision: Algorithms and Applications
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Seller Inventory # GWSVV.7302269157.G
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Computer Vision: Algorithms and Applications(Chinese Edition)
Seller: liu xing, Nanjing, JS, China
Seller rating 5 out of 5 stars
paperback. Condition: New. Paperback Pages Number: 665 Language: Chinese. Computer Vision: Algorithms and Applications to explore a variety of common techniques for analysis and interpretation of images. and describe successful examples of some challenging vision applications. taking into account the professional medical imaging and image-editing and class intersect interesting popular applications. so that students can apply their own photos and video and gain a sense of accomplishment and fun. From a scientific persp. Seller Inventory # N15453