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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.
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.