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162
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PAMI
2008
391views more  PAMI 2008»
15 years 3 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
131
Voted
MICCAI
2003
Springer
16 years 4 months ago
Segmenting 3D Branching Tubular Structures Using Cores
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...
110
Voted
PCM
2009
Springer
153views Multimedia» more  PCM 2009»
15 years 10 months ago
Universal Capture through Stereographic Multi-perspective Recording and Scene Reconstruction
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...
Volker Kuchelmeister
110
Voted
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
15 years 10 months ago
Fast vision-based minimum distance determination between known and unkown objects
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...
Stefan Kuhn, Dominik Henrich
108
Voted
ISBI
2007
IEEE
15 years 10 months ago
Autocorrecting Reconstruction for Flexible Ct Scanners
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...
Jeff Orchard, Alexei Ramotar