Velocity Moments - Capturing the Dynamics: Insights into Computer Vision
Fouad Sabry
Editora: One Billion Knowledgeable
Sinopse
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.
