The best book for 3D vision for robotics is typically one that covers both the theoretical foundations and practical applications of 3D vision in the context of robotics. One highly recommended book is "Multiple View Geometry in Computer Vision" by Richard Hartley and Andrew Zisserman. While not strictly focused on robotics, this book offers a comprehensive guide to the mathematical techniques and algorithms used in 3D vision, such as stereo vision, structure from motion, and camera calibration, which are crucial for robotics applications. For a more robotics-centric approach, "Robotics, Vision and Control: Fundamental Algorithms in MATLAB" by Peter Corke is an excellent resource. This book provides a detailed look at the integration of 3D vision techniques into robotic systems, focusing on practical algorithms implemented in MATLAB. It covers topics such as object recognition, visual servoing, and 3D reconstruction, making it highly relevant for roboticists working with computer vision. Both books offer essential knowledge for those looking to apply 3D vision in robotic systems, ranging from basic understanding to more advanced implementation techniques.
What is the best book for 3D Vision for robotics?
- Optimizing Your RAG Applications: Strategies and Methods
- AI & Machine Learning
- The Definitive Guide to Building RAG Apps with LlamaIndex
- The Definitive Guide to Building RAG Apps with LangChain
- Getting Started with Milvus
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What industries benefit the most from speech recognition?
Speech recognition technology has a significant impact across various industries, but the ones that benefit the most inc
How do you manage master data within an ETL framework?
Managing master data within an ETL framework involves ensuring consistency, accuracy, and governance of core business en
How is edge AI applied in public transportation systems?
Edge AI is applied in public transportation systems to enhance efficiency, safety, and user experience by processing dat