Robotics Visual Perception And Control Made Easy With Multi-View Geometry Real-World 3D Vision Tools For Environment Interaction And Low-Dimensional Geometry Extraction In Robotic Systems

Robotics Perception and Control with Multi-View Geometry
✔️ Single copy book on real-world 3D vision and Lyapunov control

This book explains how robotic systems perceive their surroundings and decide actions by turning rich image data into compact geometric representations. It's a practical guide for researchers and students building perception and control pipelines using multi-view geometry.

✅ Author: Chen, Jian
✅ Edition: 1
✅ Language: English
✅ Release Date: 01-08-2018
✅ Focus: visual perception and control using multi-view geometry with Lyapunov methods

💡 What is multi-view geometry used for in robot perception and control systems?

Short answer: It helps convert multiple camera views into compact geometric representations that guide perception and control tasks.

• multi-view geometry for robotic pose estimation
• low-dimensional geometry extraction from high-dimensional images
• Lyapunov-based control under model uncertainties
• application in real world 3D vision tools for environment interaction

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