Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Blood vessels and other anatomic objects in the human body can be described as trees of branching tubes. The focus of this paper is the extraction of the branching geometry in 3D, ...
Yonatan Fridman, Stephen M. Pizer, Stephen R. Aylw...
This paper describes a prototype for an installation which combines stereographic video and real-time 3D computer graphic to demonstrate a novel method of documenting dance and oth...
Abstract – We present a method for quickly determining the minimum distance between multiple known and multiple unkown objects within a camera image. Known objects are objects wi...
Nanotechnology researchers are developing miniature, lowpower x-ray devices. These innovations might revolutionize the world of computed tomography (CT). Tiny x-ray emitters and d...