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ACCV
2009
Springer
14 years 1 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
ICPR
2008
IEEE
14 years 8 months ago
Dual generative models for human motion estimation from an uncalibrated monocular camera
We propose a new approach to estimate gait kinematics from image sequences taken by a monocular uncalibrated camera. This approach involves two generative models for gait represen...
Guoliang Fan, Xin Zhang
VISUALIZATION
2000
IEEE
13 years 11 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
WACV
2005
IEEE
14 years 9 days ago
Patchlets: Representing Stereo Vision Data with Surface Elements
This paper describes a class of augmented surface elements which we call patchlets. Patchlets are planar surface elements generated from dense stereo vision 3D range images. Patch...
Don Murray, James J. Little
CVIU
2006
166views more  CVIU 2006»
13 years 6 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...