Computer Vision Metrics: Survey, Taxonomy, and Analysis
by Scott Krig
Publisher: Springer 2014
Number of pages: 498
Provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications.
Home page url
Download or read it online for free here:
by Xiong Zhihui - InTech
This book presents research trends on computer vision, especially on application of robotics, and on advanced approaches for computer vision. Research on RFID technology integrating stereo vision to localize an indoor mobile robot is included.
by Bruce G. Batchelor - Springer-Verlag
The author introduces the basic concepts of machine vision, then develops these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Several case studies in industrial applications are discussed.
by Kresimir Delac, Mislav Grgic, Marian Stewart Bartlett - IN-TECH
The main ideas in the area of face recognition are security applications and human-computer interaction. The goal of this book is to provide the reader with the most up to date research performed in automatic face recognition.
by Kresimir Delac, Mislav Grgic - InTech
This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying potential research directions within the area.