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Active contour model, also called snakes, is a framework in computer vision introduced by Michael Kass, Andrew Witkin, and Demetri Terzopoulos [1] for delineating an object outline from a possibly noisy 2D image.
The edge map can then be used to guide a deformable model, sometimes called an active contour or a snake, so that it passes through the edge map in a smooth way, therefore defining the object itself. A common way to encourage a deformable model to move toward the edge map is to take the spatial gradient of the edge map, yielding a vector field.
Michael Kass has been a distinguished engineer at NVIDIA since 2017. Prior to NVIDIA, he was a senior principal engineer in the New Technology Group at Intel, [15] distinguished fellow at Magic Leap, [16] a senior research scientist at Pixar Animation Studios, and a principal engineer with the Advanced Technology Group at Apple Computers. [7]
The paper "Snakes: Active Contour Models" [5] achieved an honorable mention for the Marr Prize in 1987. According to CiteSeer, this paper is the 11th most cited paper ever in computer science. [6] The 1987 paper "Constraints on deformable models: Recovering 3D shape and nonrigid motion" [7] was also a prize winner. [6]
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Computer graphics produces image data from 3D models, and computer vision often produces 3D models from image data. [24] There is also a trend towards a combination of the two disciplines, e.g., as explored in augmented reality. The following characterizations appear relevant but should not be taken as universally accepted:
It is closely related to the active appearance model. It is also known as a "Smart Snakes" [ 1 ] method, since it is an analog to an active contour model which would respect explicit shape constraints.
Demetri Terzopoulos FRS FRSC [1] [2] is a Greek-Canadian-American computer scientist and entrepreneur. [3] [4] He is currently a Distinguished Professor and Chancellor's Professor of Computer Science in the Henry Samueli School of Engineering and Applied Science at the University of California, Los Angeles, where he directs the UCLA Computer Graphics & Vision Laboratory.