Self-organizing neural networks (SONN) driven by softmax weight renormalization are capable of finding high quality solutions of difficult assignment optimization problems. The r...
We consider the use of medial surfaces to represent symmetries of cts. This allows for a qualitative abstraction based on a directed acyclic graph of components and also a degree o...
Juan Zhang, Kaleem Siddiqi, Diego Macrini, Ali Sho...
Weierstrass representation is a classical parameterization of minimal surfaces. However, two functions should be specified to construct the parametric form in Weierestrass represe...
Abstract. This paper describes how function-based shape modeling can be expanded to web visualization, as well as how web-based visualization can be greatly improved by using the f...
Abstract. We design an effective shape prior embedded human silhouettes extraction algorithm. Human silhouette extraction is found challenging because of articulated structures, po...