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CVPR
2010
IEEE
14 years 4 months ago
High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements
Modeling moving and deforming objects requires capturing as much information as possible during a very short time. When using off-the-shelf hardware, this often hinders the resolu...
Yi Xu, Daniel Aliaga
ICPR
2002
IEEE
14 years 8 months ago
Self-Calibration and Neural Network Implementation of Photometric Stereo
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...
Yuji Iwahori, Yumi Watanabe, Robert J. Woodham, Ak...
ICCV
2003
IEEE
14 years 9 months ago
Incorporating the Torrance and Sparrow Model of Reflectance in Uncalibrated Photometric Stereo
Under the Lambertian reflectance model, uncalibrated photometric stereo with unknown light sources is inherently ambiguous. In this paper, we consider the use of a more general re...
Athinodoros S. Georghiades
PAMI
2010
202views more  PAMI 2010»
13 years 6 months ago
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
—In this paper, we introduce a local image descriptor, DAISY, which is very efficient to compute densely. We also present an EM-based algorithm to compute dense depth and occlusi...
Engin Tola, Vincent Lepetit, Pascal Fua
CVPR
2007
IEEE
14 years 8 months ago
Towards Fog-Free In-Vehicle Vision Systems through Contrast Restoration
In foggy weather, the contrast of images grabbed by in-vehicle cameras in the visible light range is drastically degraded, which makes the current applications very sensitive to we...
Nicolas Hautière, Jean-Philippe Tarel and Didier ...