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» Light Fields and Computational Imaging
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ICPR
2008
IEEE
15 years 11 months ago
Extending depth of field by intrinsic mode image fusion
Here, a versatile data-driven application independent method to extend the depth of field is presented. The principal contribution in this effort is the use of features extracted ...
Andreas Koschan, Harishwaran Hariharan, Mongi A. A...
ICASSP
2011
IEEE
14 years 1 months ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz
RT
2004
Springer
15 years 3 months ago
Light Space Perspective Shadow Maps
In this paper, we present a new shadow mapping technique that improves upon the quality of perspective and uniform shadow maps. Our technique uses a perspective transform specifi...
Michael Wimmer, Daniel Scherzer, Werner Purgathofe...
SIGGRAPH
1993
ACM
15 years 1 months ago
Imaging vector fields using line integral convolution
Imaging vector fields has applications in science, art, image processing and special effects. An effective new approach is to use linear and curvilinear filtering techniques to ...
Brian Cabral, Leith Casey Leedom
ICCV
2005
IEEE
15 years 11 months ago
Can Two Specular Pixels Calibrate Photometric Stereo?
Lambertian photometric stereo with unknown light source parameters is ambiguous. Provided that the object imaged constitutes a surface, the ambiguity is represented by the group o...
Ondrej Drbohlav, Mike J. Chantler