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: Face RecognitionFace Recognition
by - 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.
(11345 views)
Book cover: Recent Advances in Face RecognitionRecent Advances in Face Recognition
by - 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.
(7340 views)
Book cover: Computer Vision: Models, Learning, and InferenceComputer Vision: Models, Learning, and Inference
by - Cambridge University Press
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use data to learn the relationships between the observed image data and the aspects that we wish to estimate.
(14385 views)
Book cover: Vision SystemsVision Systems
by - Cardiff School of Computer Science
From the table of contents: Image Acquisition: 2D Image Input, 3D imaging; Image processing: Fourier Methods, Smoothing Noise; Edge Detection; Edge Linking; Segmentation; Line Labelling; Relaxation Labelling; Optical Flow; Object Recognition.
(9591 views)