Abstract— Miniaturization of Programmable Matter is a major challenge. Much of the difficulty stems from size and power requirements of internal actuators. This paper demonstrat...
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Abstract. TVLA is a parametric framework for shape analysis that can be easily instantiated to create different kinds of analyzers for checking properties of programs that use link...
Igor Bogudlov, Tal Lev-Ami, Thomas W. Reps, Mooly ...
This paper concerns a method for approximating the possible “shapes” that heap-allocated structures in a program can take on. We present a new approach to finding solutions t...
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...