Computer vision : a modern approach / by David A. Forsyth and Jean Ponce

By: Forsyth, David AContributor(s): Ponce, JeanMaterial type: TextTextPublication details: New Delhi : PHI Learning Private Limited, 2009, 2003cDescription: xxv, 693 p. : ill. ; 26 cmISBN: 9788120323728 (pbk)Subject(s): Computer visionDDC classification: 006.37
Contents:
PART I: IMAGE FORMATION AND IMAGE MODELS.--------------------------- PART II. EARLY VISION: JUST ONE IMAGE.------------------------------ PART III. EARLY VISION: MULTIPLE IMAGES---------------------------- PART IV. MID-LEVEL VISION-------------------------------- PART V. HIGH-LEVEL VISION: GEOMETRIC MODELS-------------------------------- PART VI. HIGH-LEVEL VISION: PROBABILISTIC AND INFERENTIAL METHODS----------------------------- PART VII. APPLICATIONS---------------------------------
Summary: Appropriate for upper-division undergraduate and graduate level courses in computer vision found in departments of computer science, computer engineering and electrical engineering, this book offers
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Reference Namal Library
Reference
006.37 FOR-C 2009 654 (Browse shelf (Opens below)) 1 Not for loan 654
Books Books Namal Library
Computer Science
006.37 FOR-C 2009 655 (Browse shelf (Opens below)) 2 Available 655
Books Books Namal Library
Computer Science
006.37 FOR-C 2009 656 (Browse shelf (Opens below)) 3 Available 656
Books Books Namal Library
Computer Science
006.37 FOR-C 2009 110 (Browse shelf (Opens below)) 4 Available 110
Total holds: 0

Index included

PART I: IMAGE FORMATION AND IMAGE MODELS.---------------------------
PART II. EARLY VISION: JUST ONE IMAGE.------------------------------
PART III. EARLY VISION: MULTIPLE IMAGES----------------------------
PART IV. MID-LEVEL VISION--------------------------------
PART V. HIGH-LEVEL VISION: GEOMETRIC MODELS--------------------------------
PART VI. HIGH-LEVEL VISION: PROBABILISTIC AND INFERENTIAL METHODS-----------------------------
PART VII. APPLICATIONS---------------------------------

Appropriate for upper-division undergraduate and graduate level courses in computer vision found in departments of computer science, computer engineering and electrical engineering, this book offers

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