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Find a path to becoming a Shape Detection. Learn more at:
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Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Shape Detection.
Focuses specifically on shape detection and analysis methods, providing a comprehensive overview of the field.
This comprehensive textbook covers shape detection as part of computer vision.
Provides a comprehensive overview of computer vision algorithms and applications, including shape detection.
This paper provides a comprehensive survey of geometric shape detection methods, offering insights into the latest advancements.
This tutorial provides hands-on experience with shape detection algorithms using MATLAB.
Provides a comprehensive overview of computer vision, including shape detection algorithms and techniques.
Classic work on geometric invariants for shape analysis, which are used in shape detection.
This classic textbook covers digital image processing techniques, including shape detection.
Covers computer vision techniques used in medical imaging, including shape detection.
Focuses on the theoretical foundations of shape analysis in computer vision.
Covers machine vision fundamentals, including shape detection and other related topics.
Covers directional statistics, which is relevant for shape analysis and detection, providing a theoretical foundation.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/2cj6fc/shape
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