Active Contour - Advancing Computer Vision with Active Contour Techniques
Fouad Sabry
Publisher: One Billion Knowledgeable
Summary
What is Active Contour 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.
