Computer Vision: A Modern Approach 2nd Edition by David Forsyth (Author), Jean Ponce (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 48358
Number of Pages: 800

Rs.1,540.00

Rs.1,995.00

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Description

"Computer Vision: A Modern Approach" in its 2nd Edition, authored by David Forsyth and Jean Ponce, is an indispensable resource for anyone delving into the dynamic field of computer vision. This comprehensive text offers a thorough examination of the latest advancements and methodologies in computer vision, providing readers with a solid foundation in both theoretical principles and practical applications. With an emphasis on modern techniques and approaches, this book serves as a guide for understanding the complex interplay between computer algorithms and visual data interpretation.

The first section of the book elucidates fundamental concepts in computer vision, covering topics such as image processing, artificial intelligence, and visual perception. Forsyth and Ponce navigate readers through the intricacies of machine learning and deep learning algorithms, showcasing their pivotal role in enabling computers to interpret and understand visual information. Through illustrative examples and detailed explanations, readers gain a deeper appreciation for the underlying principles driving modern computer vision systems.

Transitioning to advanced topics, the authors delve into cutting-edge techniques and methodologies shaping the future of computer vision. From object detection and image segmentation to scene understanding and visual recognition, Forsyth and Ponce offer insights into the latest developments in the field. With a focus on practical applications, this section equips readers with the knowledge and tools needed to tackle real-world challenges in computer vision research and development.

Key Points:
1. Comprehensive coverage of fundamental concepts in computer vision, including image processing and visual perception.
2. Exploration of modern techniques such as machine learning and deep learning for visual data interpretation.
3. In-depth examination of advanced topics including object detection, scene understanding, and visual recognition.

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Writer ✤ David Forsyth (Author), Jean Ponce (Author)

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