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» Decomposition of range images using markov random fields
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TMM
2002
104views more  TMM 2002»
14 years 11 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
ICVGIP
2008
15 years 1 months ago
How Much Zoom is the Right Zoom from the Perspective of Super-Resolution?
Constructing a high-resolution (HR) image from lowresolution (LR) image(s) has been a very active research topic recently with focus shifting from multi-frames to learning based s...
Himanshu Arora, Anoop M. Namboodiri
CVPR
2011
IEEE
14 years 7 months ago
A Complete Statistical Inverse Ray Tracing Approach to Multi-view Stereo
This paper presents a complete solution to estimating a scene’s 3D geometry and appearance from multiple 2D images by using a statistical inverse ray tracing method. Instead of ...
Shubao Liu, David Cooper
ICCV
2005
IEEE
15 years 5 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black
TIP
2008
222views more  TIP 2008»
14 years 11 months ago
Local Region Descriptors for Active Contours Evolution
Edge-based and region-based active contours are frequently used in image segmentation. While edges characterize small neighborhoods of pixels, region descriptors characterize entir...
Cristina Darolti, Alfred Mertins, Christoph Bodens...