Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
Abstract. The idea of feature-oriented programming is to map requirements to features, concepts that can be composed to form a software product. Change-oriented programming (ChOP),...
Peter Ebraert, Andreas Classen, Patrick Heymans, T...
—Feature-based intelligent design and manufacturing systems in the Internet environment are an evolution of traditional geometric and solid modeling systems. This paper presents ...
Jin Hou, Dengsheng Zhang, Zeng Chen, Xuerong Xu, T...