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ICCV
1999
IEEE
15 years 4 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor
CVPR
1998
IEEE
16 years 1 months ago
Image Segmentation Using Local Variation
We present a new graph-theoretic approach to the problem of image segmentation. Our method uses local criteria and yet produces results that reflect global properties of the image...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
ICCV
2007
IEEE
16 years 1 months ago
Differential EMD Tracking
Illumination changes cause object appearance to change drastically and many existing tracking algorithms lack the capability to handle this problem. The Earth Mover's Distanc...
Qi Zhao, Shane Brennan, Hai Tao
TROB
2008
154views more  TROB 2008»
14 years 10 months ago
Large-Scale SLAM Building Conditionally Independent Local Maps: Application to Monocular Vision
SLAM algorithms based on local maps have been demonstrated to be well suited for mapping large environments as they reduce the computational cost and improve the consistency of the...
Pedro Pinies, Juan D. Tardós
ECCV
2004
Springer
16 years 1 months ago
Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints
Photometric stereo algorithms use a Lambertian reflectance model with a varying albedo field and involve the appearances of only one object. This paper extends photometric stereo a...
Shaohua Kevin Zhou, Rama Chellappa, David W. Jacob...