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1.
Computer vision : a modern approach
Computer vision : a modern approach
by
Forsyth, David.
Format:
Books
2.
Computer vision : models, learning, and inference
Computer vision : models, learning, and inference
by
Prince, Simon J. D. (Simon Jeremy Damion), 1972-
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3.
Computer vision : algorithms and applications
Computer vision : algorithms and applications
by
Szeliski, Richard, 1958- author.
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4.
Computer vision technology for food quality evaluation
Computer vision technology for food quality evaluation
by
Sun, Da-Wen.
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Books
5.
Image processing, analysis, and machine vision
Image processing, analysis, and machine vision
by
Sonka, Milan.
Format:
Books
6.
Computer vision:a modern approach
Computer vision:a modern approach
by
Forsyth, David.
Format:
Books
7.
Foundations of image understanding.
Foundations of image understanding.
by
Davis, Larry S.
Format:
Books
8.
The geometry of multiple images:the laws that govern the formation of multiple images of a scene and some of their applications
The geometry of multiple images:the laws that govern the formation of multiple images of a scene and some of their applications
by
Faugeras, Olivier, 1949-
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Books
9.
Computer vision and fuzzy-neural systems
Computer vision and fuzzy-neural systems
by
Kulkarni, Arun D.
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Books
10.
Close range photogrammetry and machine vision
Close range photogrammetry and machine vision
by
Atkinson, K. B. (Keith B.)
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11.
Bayesian approach to image interpretation
Bayesian approach to image interpretation
by
Kopparapu, Sunil K.
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12.
Multiple view geometry in computer vision
Multiple view geometry in computer vision
by
Hartley, Richard.
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California. Department of Transportation. Division of New Technology, Materials, and Research.
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Prince, Simon J. D. (Simon Jeremy Damion), 1972-
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Bayesian statistical decision theory.
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Bilgisayar görüntüsü.
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