Computer Stereo Vision: Exploring Depth Perception in Computer Vision

One Billion Knowledgeable · AI-narrated by Maxwell (from Google)
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2 hr 12 min
Unabridged
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AI-narrated
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About this audiobook

What is Computer Stereo Vision


Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels. This is similar to the biological process of stereopsis.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Computer stereo vision


Chapter 2: 3D reconstruction


Chapter 3: Active contour model


Chapter 4: Harris affine region detector


Chapter 5: Foreground detection


Chapter 6: Matrix Chernoff bound


Chapter 7: Similarity


Chapter 8: Structural similarity


Chapter 9: Variance function


Chapter 10: Fréchet inception distance


(II) Answering the public top questions about computer stereo vision.


(III) Real world examples for the usage of computer stereo vision in many fields.


Who this book is for


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Computer Stereo Vision.

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Narrated by Maxwell