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

By: Contributor(s): Material type: TextTextPublication details: Boston : Pearson, 2015.Edition: 2nd edDescription: 791p. : ill. ; 24 cmISBN:
  • 9789332550117 (paperback)
Subject(s): DDC classification:
  • 006.37 FOR 23
LOC classification:
  • TA1634 .F65 2012
Online resources:
Contents:
Table of Content 1 Geometric Camera Models 2 Light and Shading 3 Colo 4 Linear Filters 5 Local Image Features 6 Texture 7 Stereopsis 8 Structure from Motion 9 Segmentation by Clustering 10 Grouping and Model Fitting 11 Tracking 12 Registration 13 Smooth Surfaces and Their Outlines 14 Range Data
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Item type Current library Call number Status Notes Date due Barcode
Reference Book VIT-AP Reference 006.37 FOR (Browse shelf(Opens below)) In transit from VIT-AP to School of Computer Science Section since 2025-04-24 Not For Loan CSE 022360
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) Available CSE 022361
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) Available CSE 022362
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) Available CSE 022363
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) Available CSE 022364
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) Available CSE 022365
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) Available CSE 022366
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) Available CSE 022367
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) In transit from VIT-AP to School of Computer Science Section since 2025-04-15 CSE 022368
Text Book VIT-AP General Stacks 006.37 FOR (Browse shelf(Opens below)) Available CSE 022369

This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.

It includes contents, biblography [714-766] and index, and list of algorithms.

Table of Content

1 Geometric Camera Models
2 Light and Shading
3 Colo
4 Linear Filters
5 Local Image Features
6 Texture
7 Stereopsis
8 Structure from Motion
9 Segmentation by Clustering
10 Grouping and Model Fitting
11 Tracking
12 Registration
13 Smooth Surfaces and Their Outlines
14 Range Data

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