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» A Robust Interest Points Matching Algorithm
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WEBDB
2010
Springer
172views Database» more  WEBDB 2010»
14 years 1 months ago
Find your Advisor: Robust Knowledge Gathering from the Web
We present a robust method for gathering relational facts from the Web, based on matching generalized patterns which are automatically learned from seed facts for relations of int...
Ndapandula Nakashole, Martin Theobald, Gerhard Wei...
ISVC
2010
Springer
13 years 6 months ago
How to Overcome Perceptual Aliasing in ASIFT?
SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest ...
Nicolas Noury, Frédéric Sur, Marie-O...
VISAPP
2008
13 years 9 months ago
Pose Clustering From Stereo Data
Abstract. This article describes an algorithm for pose or motion estimation based on clustering of parameters in the six-dimensional pose space. The parameter samples are computed ...
Ulrich Hillenbrand
AAAI
2012
11 years 10 months ago
Robust Cuts Over Time: Combatting the Spread of Invasive Species with Unreliable Biological Control
Widespread accounts of the harmful effects of invasive species have stimulated both practical and theoretical studies on how the spread of these destructive agents can be containe...
Gwen Spencer
PAMI
2006
227views more  PAMI 2006»
13 years 7 months ago
Matching 2.5D Face Scans to 3D Models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...
Xiaoguang Lu, Anil K. Jain, Dirk Colbry