May 1, 2024
4 minute read
**Object Localization** is a subfield of computer vision that deals with finding the location (bounding box) of an object within an image. Object localization is widely used in various applications, including object detection, tracking, counting, and segmentation, and autonomous driving.
Why study Object Localization?
There are several reasons to study object localization:
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Find a path to becoming a Object Localization. Learn more at:
OpenCourser.com/topic/2ss9ux/object
Reading list
We've selected 11 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 Localization.
Provides a comprehensive overview of object localization, covering topics such as image segmentation, object detection, and tracking. It is written by an expert in the field with a strong research background.
Covers object localization as part of a broader treatment of deep learning for computer vision.
Covers object localization as part of a broader treatment of object detection and recognition in digital images.
Provides a comprehensive overview of object recognition and scene understanding, including a chapter on object localization.
Covers object localization as part of a broader treatment of probabilistic graphical models.
Covers object localization as part of a broader treatment of multiple view geometry in computer vision.
Covers object localization as part of a broader treatment of Bayesian methods for machine learning.
Covers object localization as part of a broader treatment of machine learning from a probabilistic perspective.
Covers object localization as part of a broader treatment of artificial intelligence.
Covers object localization as part of a broader treatment of computer vision for beginners.
Covers object localization as part of a broader treatment of pattern recognition.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/2ss9ux/object
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