ENGLISH

Machine Learning in Computer Vision

By Michele Maggiore

Book information

Publisher
Springer
Year
2005
ISBN
9780198520733, 0198520735
Open Library ID
OL3437999M
Language
english
Format
PDF
Filesize
7 MB (6844340 bytes)
Series
Computational Imaging and Vision
Edition
1
Pages
249\249
Topic
Education
Time added
2010-02-18 13:16:04

Description

The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.

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