You might also like

More about Data Segmentation and Model Selection for Computer Vision

• Book details
• Synopsis
• Trending among others

You get 125 loyalty points

Book synopsis

The problem of range and motion segmentation is of major importance in computer vision, image procession, and intelligent robotics. This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, and 2D and 3D scene segmentation. Emphasis is placed on robust model selection with techniques such as robust Mallows Cp, least K-th order statistical model fitting (LKS), and robust regression receiving much attention. With contributions from leading researchers, this book is a valuable resource for researchers and graduate students working in computer vision, pattern recognition, image processing, and robotics.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Data Segmentation and Model Selection for Computer Vision
• Subtitle: A Statistical Approach
• Author: Alireza Bab-Hadiashar, David Suter
• Language: English
• Binding: Hardback
• Number of pages: 208
• EAN: 9780387988153
• ISBN: 0387988157
• ID: 01385653
• Publisher: Springer-Verlag New York Inc.
• Weight: 1120 g
• Dimensions: 235 × 155 × 17 mm
• Date of publishing: 28. February 2000

Trending among others

---

---

---