19,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
10 °P sammeln
Andere Kunden interessierten sich auch für
![Active Vision]( "Active Vision")
Active Vision29,99 €![The Effects of Active Queue Management on TCP Application Performance]( "The Effects of Active Queue Management on TCP Application Performance")
The Effects of Active Queue Management on TCP Application Performance51,99 €![Active Media Technology]( "Active Media Technology")
Active Media Technology37,99 €![Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment]( "Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment")
Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment35,00 €![Passive and Active Sample Selection and Variance Discriminant Analysis]( "Passive and Active Sample Selection and Variance Discriminant Analysis")
Passive and Active Sample Selection and Variance Discriminant Analysis44,99 €![Intelligent Active Directory Integration]( "Intelligent Active Directory Integration")
Intelligent Active Directory Integration38,99 €![Passive and Active Structural Vibration Control in Civil Engineering]( "Passive and Active Structural Vibration Control in Civil Engineering")
Passive and Active Structural Vibration Control in Civil Engineering37,99 €
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Active contour model, also called snakes, is a framework for delineating an object outline from a possibly noisy 2D image.This model is highly popular in computer vision, and led to several developments in 2D and 3D. Namely, in two dimensions, the active shape model represents a discrete version of this approach taking advantage of the point distribution model to restrict the shape range to an explicit domain learned from a training set.Snake is an energy minimizing, deformable spline influenced by constraint and image forces that pull it towards object contours. Snakes are greatly used in applications like object tracking,shape recognition, segmentation, edge detection,stereo matching. Snakes may be understood as a special case of general technique of matching a deformable model to an image by means of energy minimization.