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Item #:
102390087
Computer Vision: Three-dimensional Reconstruction Techniques 1st ed. 2024 Edition
96% of respondents would recommend this to a friend
Item #:
102390087
XCD 316
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What Stands Out
Comprehensive Techniques
This edition covers a wide range of three-dimensional reconstruction techniques, providing in-depth insights into both traditional and modern methods, ensuring learners grasp essential concepts and applications in computer vision.
Updated Research
Incorporating the latest advancements in the field, this book offers updated research findings and case studies, enhancing its relevance for professionals and academics aiming to stay current in computer vision developments.
Practical Applications
The text emphasizes practical applications of three-dimensional reconstruction, enabling readers to apply theory to real-world scenarios, making it an invaluable resource for researchers, engineers, and students in technology-focused disciplines.
Product Details
| Item Weight | 1.2 lbs (540 grams) |
Who Should Buy?
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Students in Computer Vision
Perfect for students seeking to understand advanced 3D reconstruction techniques and their applications in computer vision.
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Researchers and Practitioners
Beneficial for researchers focusing on 3D reconstruction in fields such as robotics, AR/VR, and image processing.
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Industry Professionals
Suitable for professionals in tech companies needing to implement and innovate using 3D reconstruction technologies.
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Beginner Level Learners
Not ideal for beginners without foundational knowledge in computer vision or related technical backgrounds.
Product Description
Computer Vision: Three-dimensional Reconstruction Techniques 1st ed. 2024 Edition
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Pros
- Comprehensive coverage of techniques
- Clear explanations and examples
- Up-to-date with latest research
- Great for both beginners and experts
- Practical applications included
Cons
- Some sections may be too detailed.
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XCD 316
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Features & Benefits
- Covers essential geometric principles in computer vision.
- Includes practical examples to aid understanding and application.
- Ideal for university students in computer science and engineering.
- Useful for self-study and practical problem-solving applications.
- Strikes a balance between theory complexity and practical implementation.
- Focuses on specific methods rather than an exhaustive state of the art.
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