Introductory Techniques for 3-D Computer Vision
- ISBN-10
- 0132611082
- ISBN-13
- 9780132611084
- Category
- Technology & Engineering / Electrical
- Pages
- 343
- Language
- English
- Published
- 1998
- Publisher
- Prentice Hall
- Authors
- Emanuele Trucco, Alessandro Verri
Description
Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision.
An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.
Get the book
Similar books
-
Introductory Techniques for 3-D Computer Vision
By Emanuele TruccoIntroductory Techniques for 3-D Computer Vision
-
An Introduction to 3D Computer Vision Techniques and Algorithms
By Boguslaw Cyganek, J. Paul SiebertThis book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision.
-
An Introduction to 3D Computer Vision Techniques and Algorithms
By Boguslaw Cyganek, J. Paul SiebertAn Introduction to 3D Computer Vision Techniques and Algorithms
-
An Invitation to 3-D Vision: From Images to Geometric Models
By Yi Ma, Stefano Soatto, Jana KoseckáThis book introduces the geometry of 3-D vision, that is, the reconstruction of 3-D models of objects from a collection of 2-D images.
-
Guide to 3D Vision Computation: Geometric Analysis and Implementation
By Kenichi Kanatani, Yasuyuki Sugaya, Yasushi KanazawaUnlike other textbooks on computer vision, this Guide to 3D Vision Computation takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system.
-
Programming Computer Vision with Python: Tools and algorithms for analyzing images
By Jan Erik SolemThis book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.
-
Multiple View Geometry in Computer Vision
By Andrew Zisserman, Richard Hartley[Fitzgibbon-98b| A. W. Fitzgibbon, G. Cross, and A. Zisserman. Automatic 3D model construction for turn-table sequences. In R. Koch and L. Van Gool. editors, 3D Structure from Multiple Images of Large-Scale Environments, ...
-
Readings in Computer Vision: Issues, Problem, Principles, and Paradigms
By Martin A. Fischler, Oscar FirscheinThe editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving ...
-
Computer Vision: Models, Learning, and Inference
By Simon J. D. PrinceA modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.
-
Computer Vision
By Linda G. Shapiro, George C. StockmanUsing a progressive intuitive/mathematical approach, this introduction to computer vision provides necessary theory and examples for practitioners who work in fields where significant information must be extracted...