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» Regularized depth from defocus
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ECCV
1996
Springer
14 years 9 months ago
Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities
We present a variational approachto dense stereo reconstructionwhich combines powerful tools such as regularization and multi-scale processing to estimate directly depth from a num...
Luc Robert, Rachid Deriche
ECCV
2008
Springer
14 years 9 months ago
Flexible Depth of Field Photography
The range of scene depths that appear focused in an image is known as the depth of field (DOF). Conventional cameras are limited by a fundamental trade-off between depth of field a...
Hajime Nagahara, Sujit Kuthirummal, Changyin Zhou,...
DAGM
2010
Springer
13 years 8 months ago
Real-Time Dense Geometry from a Handheld Camera
We present a novel variational approach to estimate dense depth maps from multiple images in real-time. By using robust penalizers for both data term and regularizer, our method pr...
Jan Stühmer, Stefan Gumhold, Daniel Cremers
ICCV
2009
IEEE
15 years 18 days ago
Time-Constrained Photography
Capturing multiple photos at different focus settings is a powerful approach for reducing optical blur, but how many photos should we capture within a fixed time budget? We develop...
Samuel W. Hasinoff, Kiriakos N. Kutulakos, Frédo ...
GREC
2003
Springer
14 years 25 days ago
Skewed Mirror Symmetry for Depth Estimation in 3D Line-Drawings
We aim to reconstruct three-dimensional polyhedral solids from axonometric-like line drawings. A new approach is proposed to make use of planes of mirror symmetry detected in such ...
Ana Piquer Vicent, Ralph R. Martin, Pedro Company