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TMI
2010
132views more  TMI 2010»
13 years 3 months ago
Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography
We present a novel method for joint reconstruction of both image and motion in positron-emission-tomography (PET). Most other methods separate image from motion estimation: They us...
Moritz Blume, Axel Martinez-Möller, Andreas K...
CVPR
2009
IEEE
15 years 3 months ago
Dense 3D Motion Capture for Human Faces
This paper proposes a novel approach to motion capture from multiple, synchronized video streams, specifically aimed at recording dense and accurate models of the structure and ...
Yasutaka Furukawa (University of Washington), Jean...
IBPRIA
2007
Springer
14 years 2 months ago
Extracting Average Shapes from Occluded Non-rigid Motion
This paper presents a method to efficiently estimate average 3-D shapes from non-rigid motion in the case of missing data. Such a shape can be further used to accomplish full reco...
Alessio Del Bue
PAMI
2002
177views more  PAMI 2002»
13 years 8 months ago
Adjusting Shape Parameters Using Model-Based Optical Flow Residuals
We present a method for estimating the shape of a deformable model using the least-squares residuals from a model-based optical flow computation. This method is built on top of an...
Douglas DeCarlo, Dimitris N. Metaxas
IVC
2007
187views more  IVC 2007»
13 years 8 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...