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» Robust Principal Component Analysis for Computer Vision
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ICPR
2010
IEEE
15 years 4 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
16 years 2 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»
16 years 2 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
14 years 11 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»
16 years 9 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...