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CVPR
2009
IEEE
1382views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Super-Resolution via Recapture and Bayesian Effect Modeling
This paper presents Bayesian edge inference (BEI), a single-frame super-resolution method explicitly grounded in Bayesian inference that addresses issues common to existing meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
ICCV
2009
IEEE
1520views Computer Vision» more  ICCV 2009»
16 years 9 months ago
A Hand-held Photometric Stereo Camera for 3-D Modeling
This paper presents a simple yet practical 3-D modeling method for recovering surface shape and reflectance from a set of images. We attach a point light source to a hand-held c...
Tomoaki Higo, Yasuyuki Matsushita, Neel Joshi, Kat...
ICCV
2009
IEEE
1052views Computer Vision» more  ICCV 2009»
16 years 9 months ago
A direct approach for efficiently tracking with 3D Morphable Models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry formulation of perspective projection, which results in a...
Enrique Muñoz, José M. Buenaposada, Luis Baumela
CVPR
1998
IEEE
16 years 6 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
CVPR
1998
IEEE
16 years 6 months ago
Probabilistic Reasoning Models for Face Recognition
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
Chengjun Liu, Harry Wechsler