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» New Features to Identify Computer Generated Images
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BMVC
2002
15 years 1 days ago
A New Constrained Parameter Estimator: Experiments in Fundamental Matrix Computation
In recent work the authors proposed a wide-ranging method for estimating parameters that constrain image feature locations and satisfy a constraint not involving image data. The p...
Anton van den Hengel, Michael J. Brooks, Wojciech ...
ICPR
2008
IEEE
15 years 4 months ago
A new hierarchical approach in robust real-time image feature detection and matching
Object recognition forms a ubiquitous problem in digital image processing. The detection of robust image features of high distinctiveness is one important key in this regard. We p...
Matthias Langer, Klaus-Dieter Kuhnert
BMCBI
2007
96views more  BMCBI 2007»
14 years 9 months ago
Features generated for computational splice-site prediction correspond to functional elements
Background: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxil...
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur...
MVA
1998
162views Computer Vision» more  MVA 1998»
14 years 9 months ago
Multipass hierarchical stereo matching for generation of digital terrain models from aerial images
Abstract. This paper presents a new multi-pass hierarchical stereo-matching approach for generation of digital terrain models (DTMs) from two overlapping aerial images. Our method ...
Yi-Ping Hung, Chu-Song Chen, Kuan-Chung Hung, Yong...
ACIVS
2009
Springer
15 years 4 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...