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» Robust Principal Component Analysis for Computer Vision
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ICPR
2010
IEEE
13 years 11 months ago
Fast Seamless Skew and Orientation Detection in Document Images
Reliable and generic methods for skew detection are a necessity for any large-scale digitization projects. As one of the first processing steps, skew detection and correction has...
Iuliu Vasile Konya, Stefan Eickeler, Christoph Sei...
ICPR
2006
IEEE
14 years 10 months ago
3D Segmentation by Maximally Stable Volumes (MSVs)
This paper introduces an efficient 3D segmentation concept, which is based on extending the well-known Maximally Stable Extremal Region (MSER) detector to the third dimension. The...
Horst Bischof, Michael Donoser
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
14 years 10 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
IMCSIT
2010
13 years 6 months ago
Generation of First-Order Expressions from a Broad Coverage HPSG Grammar
This paper describes an application for computing first-order semantic representations of English texts. It is based on a combination of hybrid shallow-deep components arranged wit...
Ravi Coote, Andreas Wotzlaw
CVPR
2009
IEEE
2452views Computer Vision» more  CVPR 2009»
15 years 4 months ago
CHoG: Compressed Histogram of Gradients: A Low Bit-Rate Feature Descriptor
Establishing visual correspondences is an essential component of many computer vision problems, and is often done with robust, local feature-descriptors. Transmission and storag...
Vijay Chandrasekhar (Stanford University), Gabriel...