Logo

Computer Vision Metrics: Survey, Taxonomy, and Analysis

Large book cover: Computer Vision Metrics: Survey, Taxonomy, and Analysis

Computer Vision Metrics: Survey, Taxonomy, and Analysis
by

Publisher: Springer
ISBN/ASIN: 1430259299
ISBN-13: 9781430259299
Number of pages: 498

Description:
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:
Download link
(16MB, PDF)

Similar books

Book cover: Image SegmentationImage Segmentation
by - InTech
The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image.
(11433 views)
Book cover: Visual ReconstructionVisual Reconstruction
by - The MIT Press
Visual Reconstruction presents a unified and highly original approach to the treatment of continuity in vision. The book introduces two new concepts: the weak continuity constraint and the graduated nonconvexity algorithm.
(11848 views)
Book cover: Notes on Elementary Spectral Graph TheoryNotes on Elementary Spectral Graph Theory
by - arXiv
These are notes on the method of normalized graph cuts and its applications to graph clustering. I provide a thorough treatment of this deeply original method, including complete proofs. The main thrust of this paper is the method of normalized cuts.
(8972 views)
Book cover: Modern Robotics with OpenCVModern Robotics with OpenCV
by - Science Publishing Group
This book is written to provide an introduction to intelligent robotics using OpenCV. It is intended for a first course in robot vision and covers modeling and implementation of intelligent robot. Written for student and hobbyist.
(8348 views)