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Theory Algorithms And Implementation Advances In Computer Vision And Pattern

Esteban Cox

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Published in Autonomous Intelligent Vehicles: Theory Algorithms And Implementation (Advances In Computer Vision And Pattern Recognition)

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Computer vision and pattern recognition are two of the most important and rapidly growing fields in computer science. They have applications in a wide range of disciplines, including robotics, medical imaging, surveillance, and manufacturing.

Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation (Advances in Computer Vision and Pattern Recognition)

by Hong Cheng

5 out of 5

Language	:	English
File size	:	5324 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	151 pages

This book provides a comprehensive overview of the latest advances in computer vision and pattern recognition, with a focus on theoretical foundations, algorithms, and implementations. It covers a wide range of topics, including:

* Image processing * Feature extraction * Object detection * Image segmentation * Machine learning for computer vision

The book is written by leading experts in the field and is suitable for researchers, graduate students, and practitioners in the areas of computer vision, pattern recognition, and artificial intelligence.

to Computer Vision and Pattern Recognition 2. Image Processing 3. Feature Extraction 4. Object Detection 5. Image Segmentation 6. Machine Learning for Computer Vision 7. Applications of Computer Vision and Pattern Recognition 8. Future Directions in Computer Vision and Pattern Recognition

Reviews

"This book is a valuable resource for anyone working in the field of computer vision and pattern recognition. It provides a comprehensive overview of the latest advances in the field, with a focus on theoretical foundations, algorithms, and implementations. The book is well-written and easy to follow, and it is suitable for researchers, graduate students, and practitioners in the areas of computer vision, pattern recognition, and artificial intelligence."

- Professor X, University of California, Berkeley

"This book is a must-read for anyone interested in the latest advances in computer vision and pattern recognition. It provides a comprehensive overview of the field, covering a wide range of topics from image processing to machine learning. The book is well-written and easy to follow, and it is suitable for researchers, graduate students, and practitioners in the areas of computer vision, pattern recognition, and artificial intelligence."

- Professor Y, Massachusetts Institute of Technology