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» An Adaptive Sampling Method for Layered Depth Image
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VISUALIZATION
1996
IEEE
13 years 11 months ago
Illustrating Transparent Surfaces with Curvature-Directed Strokes
Transparency can be a useful device for simultaneously depicting multiple superimposed layers of information in a single image. However, in computer-generated pictures -as in phot...
Victoria Interrante, Henry Fuchs, Stephen M. Pizer
CGA
1998
13 years 7 months ago
Images for Accelerating Architectural Walkthroughs
We are investigating methods to accelerate rendering of architectural walkthroughs. In this paper, we improve upon a cells and portals framework by using images to replace geometr...
Matthew M. Rafferty, Daniel G. Aliaga, Voicu Popes...
CVPR
2007
IEEE
14 years 9 months ago
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segm...
Thomas Pock, Christopher Zach, Horst Bischof
ICCV
2011
IEEE
12 years 7 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
GRAPHICSINTERFACE
2003
13 years 8 months ago
Entropy-based Adaptive Sampling
Ray tracing techniques need supersampling to reduce aliasing and/or noise in the final image. Since not all the pixels in the image require the same number of rays, supersampling...
Jaume Rigau, Miquel Feixas, Mateu Sbert