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» Computational methods for understanding 3D shapes
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BMCBI
2010
218views more  BMCBI 2010»
13 years 10 months ago
Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets
Background: Solving bioinformatics tasks often requires extensive computational power. Recent trends in processor architecture combine multiple cores into a single chip to improve...
Michael Scharfe, Rainer Pielot, Falk Schreiber
TIP
2008
287views more  TIP 2008»
13 years 10 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
ACMACE
2006
ACM
14 years 4 months ago
Sketching-out virtual humans: from 2D storyboarding to immediate 3D character animation
Virtual beings are playing a remarkable role in today’s public entertainment, while ordinary users are still treated as audiences due to the lack of appropriate expertise, equip...
Chen Mao, Sheng Feng Qin, David K. Wright
ICCV
2007
IEEE
15 years 7 days ago
Real-Time Marker-free Motion Capture from multiple cameras
We present a fully-automated method for real-time and marker-free 3D human motion capture. The system computes the 3D shape of the person filmed from a synchronized camera set. We...
Brice Michoud, Erwan Guillou, Héctor M. Bri...
SIBGRAPI
2008
IEEE
14 years 4 months ago
PCA-Based 3D Face Photography
This paper presents a 3D face photography system based on a small set of training facial range images. The training set is composed by 2D texture and 3D range images (i.e. geometr...
Jesus P. Mena-Chalco, Ives Macedo, Luiz Velho, Rob...