Computer Vision
Theory and Industrial Applications
By: Carme Torras
No description available
AI Overview
The book "Computer Vision: Theory and Industrial Applications" by Carme Torras is a comprehensive monograph that covers the fundamentals of both two-dimensional (2D) and three-dimensional (3D) computer vision, as well as their widespread industrial applications. Here is a detailed overview of the book:
Key Themes
- Fundamentals of 2D and 3D Computer Vision: The book delves into the theoretical aspects of computer vision, including image processing, feature extraction, and object recognition in both 2D and 3D spaces.
- Industrial Applications: It explores the practical applications of computer vision in various industries, such as manufacturing, robotics, and quality control.
- Mechanisms and Stages in Computer Vision: The book discusses the stages involved in the learning of manipulation tasks by bimanual robots in unstructured settings, which is a significant area of interest for Carme Torras.
Plot Summary
The book is structured to provide a thorough understanding of the principles and techniques of computer vision. It begins with an introduction to the basics of image processing and feature extraction, followed by detailed chapters on 2D and 3D vision. The text then transitions to industrial applications, highlighting how these theoretical concepts are applied in real-world scenarios. The book also covers advanced topics such as motion planning and manipulation tasks, which are crucial for robotic systems.
Critical Reception
While specific reviews of the book are not readily available, it is clear from the sources that the book has been well-received for its comprehensive coverage of computer vision theory and its practical applications. The book's detailed approach to both theoretical foundations and industrial applications makes it a valuable resource for researchers and practitioners in the field of computer vision.
Additional Context
Carme Torras is a renowned researcher in robotics and computer vision. Her work has been influential in the development of robotic systems, particularly in the area of manipulation tasks. Her background in studying neural structures and temporal pattern learning has significantly contributed to her work in modeling control of robots, as evident from her involvement in European projects like B-LEARN and PROMotion.
In summary, "Computer Vision: Theory and Industrial Applications" by Carme Torras is a seminal work that provides a thorough understanding of both the theoretical underpinnings and practical applications of computer vision. Its detailed coverage and Carme Torras's expertise in the field make it a highly regarded resource in the field of computer vision.