Forsyth, David. <br/><br/>
Computer vision :  a modern approach / 
David A. Forsyth and Jean Ponce. 
 - 2nd ed. 
 - Boston :  Pearson,  2015. 
 - 791p. :  ill. ;  24 cm. 
<br/><br/> 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. 
<br/><br/>It includes contents, biblography [714-766] and index, and list of algorithms. 
<br/><br/>Table of Content<br/><br/>1 Geometric Camera Models<br/>2 Light and Shading<br/>3 Colo<br/>4 Linear Filters<br/>5 Local Image Features<br/>6 Texture<br/>7 Stereopsis<br/>8 Structure from Motion<br/>9 Segmentation by Clustering<br/>10 Grouping and Model Fitting<br/>11 Tracking<br/>12 Registration<br/>13 Smooth Surfaces and Their Outlines<br/>14 Range Data 
<br/><br/><label>ISBN: </label>9789332550117 (paperback) 
<br/><br/><label>LCCN: </label>2011036341 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer vision.<br/>Computer vision--Problems, exercises, etc.
<br/><br/><label>LC Class. No.: </label>TA1634  / .F65 2012 
<br/><br/><label>Dewey Class. No.: </label>006.37 FOR