Image Engineering: Volume 3 Image Understanding

• Publisher: De Gruyter
• Year: 2017
• Tongue: English
• Leaves: 312
• Category: Library

✦ Synopsis

This graduate textbook explains image reconstruction technologies based on region-based binocular and trinocular stereo vision, and object, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich in examples and excises, the book concludes image engineering studies for electrical engineering and computer science students.

• Presents theories, methodologies and techniques on image recover, retrieval, matching and fusion.
• Addresses the difficulties of interdisciplinary learning via pragmatic approach.
• Accompanied by prior volumes on image processing and analysis.
  

✦ Table of Contents

Preface
Contents
1. Introduction to Image Understanding
2. Stereo Vision
3. 3-D Shape Information Recovery
4. Matching and Understanding
5. Scene Analysis and Semantic Interpretation
6. Multisensor Image Fusion
7. Content-Based Image Retrieval
8. Spatial–Temporal Behavior Understanding
Answers to Selected Problems and Questions
References
Index