Optical Flow: Exploring Dynamic Visual Patterns in Computer Vision
About this ebook
Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene. Optical flow can also be defined as the distribution of apparent velocities of movement of brightness pattern in an image.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Optical flow
Chapter 2: Least squares
Chapter 3: Fourier optics
Chapter 4: Image segmentation
Chapter 5: Lucas-Kanade method
Chapter 6: Horn-Schunck method
Chapter 7: Digital image correlation and tracking
Chapter 8: 3D reconstruction
Chapter 9: Visual odometry
Chapter 10: Harris corner detector
(II) Answering the public top questions about optical flow.
(III) Real world examples for the usage of optical flow 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 Optical Flow.
