Placeholder text

Go to cart

Data Segmentation and Model Selection for Computer Vision

By Alireza Bab-Hadiashar

Data Segmentation and Model Selection for Computer Vision Computer Science

Data Segmentation and Model Selection for Computer Vision

By Alireza Bab-Hadiashar

0 - Default Title
Description
The primary focus of this book is on techniques for segmentation of visual data. By "visual data," we mean data derived from a single image or from a sequence of images. By "segmentation" we mean breaking the visual data into meaningful parts or segments. However, in general, we do not mean "any old data": but data fundamental to the operation of robotic devices such as the range to and motion of objects in a scene. Having said that, much of what is covered in this book is far more general: The above merely describes our driving interests. The central emphasis of this book is that segmentation involves model­ fitting. We believe this to be true either implicitly (as a conscious or sub­ conscious guiding principle of those who develop various approaches) or explicitly. What makes model-fitting in computer vision especially hard? There are a number of factors involved in answering this question. The amount of data involved is very large. The number of segments and types (models) are not known in advance (and can sometimes rapidly change over time). The sensors we have involve the introduction of noise. Usually, we require fast ("real-time" or near real-time) computation of solutions independent of any human intervention/supervision. Chapter 1 summarizes many of the attempts of computer vision researchers to solve the problem of segmenta­ tion in these difficult circumstances.
Product details
Edition:
1
Number of Pages:
236
Release Date:
2000-02-28
Publication Date:
2000-02-28
Publisher:
Springer New York
Languages:
Original: English
ISBN10:
0387988157
ISBN13:
9780387988153
GPSR Manufacturer Reference:
[email protected]
Weight:
501 g
Height:
157 cm
Width:
235 cm
Thickness:
18 cm
Buy on Amazon
Currently sold out