Active Contour: Advancing Computer Vision with Active Contour Techniques
About this ebook
The active contour model, which is often referred to as snakes, is a framework in the field of computer vision that was initially introduced by Michael Kass, Andrew Witkin, and Demetri Terzopoulos. Its purpose is to outline an object from a two-dimensional image that may contain noise. Object tracking, shape recognition, segmentation, edge detection, and stereo matching are just some of the applications that make extensive use of snakes. The snakes model is becoming increasingly popular in the field of computer vision.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Active contour model
Chapter 2: Generalized Stokes theorem
Chapter 3: Potential flow
Chapter 4: Del
Chapter 5: Lagrange multiplier
Chapter 6: Calculus of variations
Chapter 7: Laplace operator
Chapter 8: Green's function
Chapter 9: Covariant derivative
Chapter 10: Tensor calculus
(II) Answering the public top questions about active contour.
(III) Real world examples for the usage of active contour 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 Active Contour.
