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» Optical Flow Estimation Using Learned Sparse Model
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NIPS
2007
13 years 10 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
ECCV
2004
Springer
14 years 10 months ago
The Least-Squares Error for Structure from Infinitesimal Motion
We analyze the least?squares error for structure from motion with a single infinitesimal motion ("structure from optical flow"). We present asymptotic approximations to ...
John Oliensis
ISBI
2009
IEEE
14 years 3 months ago
Posture Matching and Elastic Registration of a Mouse Atlas to Surface Topography Range Data
Estimation of internal mouse anatomy is required for quantitative bioluminescence or fluorescence tomography. However, only surface range data can be recovered from all-optical s...
Anand Joshi, Abhijit Chaudhari, Changqing Li, Davi...
ICCV
1999
IEEE
14 years 10 months ago
Finding People by Sampling
We show how to use a sampling method to find sparsely clad people in static images. People are modeled as an assembly of nine cylindrical segments. Segments are found using an EM ...
Sergey Ioffe, David A. Forsyth
3DPVT
2004
IEEE
285views Visualization» more  3DPVT 2004»
14 years 9 days ago
Speech-Driven Face Synthesis from 3D Video
This paper presents a framework for speech-driven synthesis of real faces from a corpus of 3D video of a person speaking. Video-rate capture of dynamic 3D face shape and colour ap...
Ioannis A. Ypsilos, Adrian Hilton, Aseel Turkmani,...