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NIPS
2003
13 years 10 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
HCI
2007
13 years 10 months ago
3D World from 2D Photos
A large number of the world's cultural heritage sites and landscapes have been lost over time due to the progress of urbanization. Digital archive projects that digitize these...
Takashi Aoki, Tomohiro Tanikawa, Michitaka Hirose
MICCAI
2004
Springer
14 years 9 months ago
Progressive Attenuation Fields: Fast 2D-3D Image Registration Without Precomputation
This paper introduces the progressive attenuation field (PAF), a method to speed up computation of digitally reconstructed radiograph (DRR) images during intensity-based 2D-3D regi...
Torsten Rohlfing, Daniel B. Russakoff, Joachim Den...
IJISTA
2008
132views more  IJISTA 2008»
13 years 8 months ago
Sub-pixel data fusion and edge-enhanced distance refinement for 2D/3D images
: An important field of reasearch in computer vision is the 3D analysis and reconstruction of objects and scenes. A rather new technologie in this context is the Photonic Mixer Dev...
Marvin Lindner, Martin Lambers, Andreas Kolb
ICEEE
2010
13 years 3 months ago
From 2D towards 3D cartography of hollow organs
Abstract--Endoscopy is a standard imaging modality commonly used in different medical fields like lesion diagnosis in hollow organs or mini-invasive surgery. Meanwhile, endoscopic ...
Christian Daul, Walter Blondel, Achraf Ben-Hamadou...