Introductory Techniques for 3-D Computer Vision
by Emanuele Trucco, Alessandro Verri
An Introduction to 3D Computer Vision Techniques and Algorithms
by Boguslaw Cyganek, J. Paul Siebert
This book provides a comprehensive introduction to the methods,theories and algorithms of 3D computer vision. Almost everytheoretical issue is underpinned with practical implementation or aworking algorithm using pseudo-code and complete code written inC++ and MatLab®. There is the additional clarification of anaccompanying website with downloadable software, case studies andexercises. Organised in three parts, Cyganek and Siebert give abrief history of vision research, and subsequently:
- present basic low-level image processing operations for imagematching, including a separate chapter on image matchingalgorithms;
- explain scale-space vision, as well as space reconstruction andmultiview integration;
- demonstrate a variety of practical applications for 3D surfaceimaging and analysis;
- provide concise appendices on topics such as the basics ofprojective geometry and tensor calculus for image processing,distortion and noise in images plus image warping procedures.
An Introduction to 3D Computer Vision Algorithms andTechniques is a valuable reference for practitioners andprogrammers working in 3D computer vision, image processing andanalysis as well as computer visualisation. It would also be ofinterest to advanced students and researchers in the fields ofengineering, computer science, clinical photography, robotics,graphics and mathematics.