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» Supershape Recovery from 3D Data Sets
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ICIP
2008
IEEE
16 years 1 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell
CVPR
2004
IEEE
16 years 1 months ago
Non-Rigid Shape and Motion Recovery: Degenerate Deformations
This paper studies the problem of 3D non-rigid shape and motion recovery from a monocular video sequence, under the degenerate deformations. The shape of a deformable object is re...
Jing Xiao, Takeo Kanade
PAMI
2010
238views more  PAMI 2010»
14 years 10 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
VISUALIZATION
2000
IEEE
15 years 4 months ago
Visualizing volume data using physical models
Visualization techniques enable scientists to interactively explore 3D data sets, segmenting and cutting them to reveal inner structure. While powerful, these techniques suffer fr...
David R. Nadeau, Michael J. Bailey
CIDR
2003
218views Algorithms» more  CIDR 2003»
15 years 1 months ago
Indexing Large Trajectory Data Sets With SETI
With the rapid increase in the use of inexpensive, location-aware sensors in a variety of new applications, large amounts of time-sequenced location data will soon be accumulated....
V. Prasad Chakka, Adam Everspaugh, Jignesh M. Pate...