May 1, 2024
Updated June 22, 2025
23 minute read
A Comprehensive Guide to Object Recognition
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Find a path to becoming a Object Recognition. Learn more at:
OpenCourser.com/topic/a3z23i/object
Reading list
We've selected four 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
Object Recognition.
An expansive overview of computer vision, with a chapter dedicated to object recognition, covering topics such as image segmentation, object detection, and object recognition. is widely regarded and often used in university courses on computer vision. The author prominent researcher in the field of computer vision.
Provides a comprehensive overview of computer vision, with a focus on object recognition. It covers both classical and deep learning approaches and is suitable for advanced undergraduate or beginning graduate students.
A classic text on computer vision, with a focus on object recognition for robotics applications. It covers a range of topics, including image processing, feature extraction, and object recognition algorithms.
A specialized text on computer vision techniques used in visual effects for film and television. It includes a chapter on object recognition, covering topics such as image segmentation, object tracking, and object recognition. The author prominent researcher in the field of computer vision.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/a3z23i/object