Active contour model, also called snakes, is a framework for delineating an object outline from a possibly noisy 2D image.
This framework attempts to minimize an energy associated to the current contour as a sum of an internal and external energy:
Latter can be written as:
where the v vectors are the coordinates of the contour points. The first term represents the elastic energy (increases with length), the second is the curvature (as it is an approximation for the second derivative, assuming a smooth contour).
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.
Active contour, also called snakes, is a framework for delineating an object outline from a possibly noisy 2D image.
This framework attempts to minimize an energy associated to the current contour as a sum of an internal and external energy:
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.
