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Velocity Moments, Fouad Sabry
Fouad Sabry

Velocity Moments

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What is Velocity Moments

In the field of computer vision, velocity moments are weighted averages of the intensities of pixels in a sequence of images, similar to image moments but in addition to describing an object's shape also describe its motion through the sequence of images. Velocity moments can be used to aid automated identification of a shape in an image when information about the motion is significant in its description. There are currently two established versions of velocity moments: Cartesian and Zernike.

How you will benefit

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

Chapter 1: Velocity Moments

Chapter 2: Navier-Stokes equations

Chapter 3: Mean squared error

Chapter 4: Rigid rotor

Chapter 5: Directional statistics

Chapter 6: Circular distribution

Chapter 7: Von Mises distribution

Chapter 8: Rice distribution

Chapter 9: Wrapped normal distribution

Chapter 10: Variance gamma process

(II) Answering the public top questions about velocity moments.

(III) Real world examples for the usage of velocity moments 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 Velocity Moments.
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This book is currently unavailable
645 printed pages
Original publication
2024
Publication year
2024

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