A controllability approach to shape identification

The main goal of this article is to discuss a controllability approach to the image matching / shape identification problem, an important issue in many applications, medical ones in particular. The matching problem is formulated as an approximate controllability problem involving a cost functional whose gradient is computed using an adjoint equation based methodology. The time discrete version of the image matching problem is also discussed in this article.

• Type: Journal
• Year: 2008
• Where: APPML
• Authors: Robert Azencott, Roland Glowinski, A. M. Ramos
• Keywords: APPML 2008, Approximate Controllability Problem, Matching Problem, Shape Identification Problem