Shape obviously plays an important role in many real-life problems. On the other hand, the task of shape perception and partitioning is inherently complex. The need of scientifically-based partitioning, based on clear algorithms, as an alternative to human’s experience, is desired. This paper deals with theoretically proving the equivalence of Stanford and Wien methodologies, related on a kinematic foundation. In addition, numerical tests on partitioning two composed surfaces are presented in order to assess the performances of the two approaches.
Reviewer: Florin Gorunescu (Craiova)