OBJECT RECOGNITION:FUNDAMENTALS & CASE STUDIE
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OBJECT RECOGNITION:FUNDAMENTALS & CASE STUDIE
Book Details
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Author: M. Bennamoun
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Publisher: Springer
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Language: English
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Edition: First Edition
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ISBN: 9781852333980
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Pages: 362
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Cover: Hardcover
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Dimensions: 9.3 x 6.4 x 0.7 inches
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Features: 133 black & white illustrations
About The Book
Object Recognition: Fundamentals & Case Studies (Advances in Computer Vision and Pattern Recognition) by M. Bennamoun offers an insightful exploration of object recognition, an essential area of study within computer vision. This comprehensive first edition delves into the core principles and methods of object recognition, offering a strong theoretical foundation paired with real-world case studies to illustrate practical applications.
The book is designed to give both students and professionals a deep understanding of the computational techniques used to identify and classify objects within images and videos. Through a detailed examination of the latest developments in object recognition, the text offers valuable insights into the challenges and solutions in this rapidly evolving field.
With clear explanations, illustrative examples, and practical case studies, this book is ideal for those interested in advancing their knowledge of computer vision and pattern recognition techniques. Whether you're an academic, researcher, or professional in the field, this resource provides the tools and information you need to understand and apply object recognition methodologies effectively.
