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» On the design of robust classifiers for computer vision
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ACIVS
2010
Springer
13 years 5 months ago
Watershed Based Document Image Analysis
Document image analysis is used to segment and classify regions of a document image into categories such as text, graphic and background. In this paper we first review existing doc...
Pasha Shadkami, Nicolas Bonnier
CVPR
2003
IEEE
14 years 9 months ago
Polydioptric Camera Design and 3D Motion Estimation
Most cameras used in computer vision applications are still based on the pinhole principle inspired by our own eyes. It has been found though that this is not necessarily the opti...
Cornelia Fermüller, Jan Neumann, Yiannis Aloi...
ICCV
2009
IEEE
1038views Computer Vision» more  ICCV 2009»
15 years 19 days ago
Combining efficient object localization and image classification
In this paper we present a combined approach for ob- ject localization and classification. Our contribution is two- fold. (a) A contextual combination of localization and clas- ...
Hedi Harzallah, Frederic Jurie, Cordelia Schmid
CVPR
2001
IEEE
14 years 9 months ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...
CVPR
2005
IEEE
14 years 9 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super