- 538 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Foundations of Computer Vision
About this book
Computer vision enables machines to interpret and process visual information, powering innovations in automation, healthcare, robotics, and security. Understanding its foundations provides insight into one of the most dynamic areas of artificial intelligence. Foundations of Computer Vision covers image processing, feature extraction, object detection, and pattern recognition techniques. The book discusses deep learning models such as convolutional neural networks and their applications in real-world scenarios. It also explores challenges in image understanding and ethical considerations in AI vision systems. By blending theoretical and applied perspectives, it offers a comprehensive introduction to the science behind visual intelligence.
Information
Table of contents
- Cover
- Title Page
- Copyright
- About the Author
- Brief Contents
- Getting Started with This Book
- Table of Contents
- List of Figures
- Preface
- CHAPTER 1: INTRODUCTION TO COMPUTER VISION
- CHAPTER 2: DIGITAL IMAGE FORMATION AND REPRESENTATION
- CHAPTER 3: IMAGE FILTERING AND ENHANCEMENT
- CHAPTER 4: EDGE AND FEATURE DETECTION
- CHAPTER 5: IMAGE SEGMENTATION TECHNIQUES
- CHAPTER 6: IMAGE MORPHOLOGY AND BINARY PROCESSING
- CHAPTER 7: COLOR AND TEXTURE ANALYSIS
- CHAPTER 8: MOTION AND OPTICAL FLOW ESTIMATION
- CHAPTER 9: CAMERA CALIBRATION AND 3D VISION
- CHAPTER 10: OBJECT DETECTION AND RECOGNITION
- CHAPTER 11: MACHINE LEARNING FOR VISION
- CHAPTER 12: DEEP LEARNING APPLICATIONS IN VISION
- INDEX
- Back Cover
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Yes, you can access Foundations of Computer Vision by Mauricio Alberto Ortega Ruiz in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over 1.5 million books available in our catalogue for you to explore.