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ACMSE
2006
ACM
16 years 25 days ago
Using visual attention to extract regions of interest in the context of image retrieval
Recent research on computational modeling of visual attention has demonstrated that a bottom-up approach to identifying salient regions within an image can be applied to diverse a...
Oge Marques, Liam M. Mayron, Gustavo B. Borba, Hum...
173
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3DIM
2005
IEEE
16 years 14 days ago
Determining Characteristic Views of a 3D Object by Visual Hulls and Hausdorff Distance
Nowadays, with the exponential growing of 3D object representations in private databases or on the web, it is all the more required to match these objects from some views. To impr...
Adrien Theetten, Jean-Philippe Vandeborre, Mohamed...
MLDM
2005
Springer
16 years 10 days ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
CW
2002
IEEE
15 years 11 months ago
Function-Based 3D Web Visualization
This paper describes how the web-based visualization can be greatly improved using the function-based shape modeling technique. The improvement is possible because the proposed fu...
Lai Feng Min, Alexei Sourin, Konstantin Levinski
CAIP
2001
Springer
15 years 11 months ago
Visual Attention Guided Seed Selection for Color Image Segmentation
Abstract. The "seeded region growing" SRG is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Give...
Nabil Ouerhani, Neculai Archip, Heinz Hügli, ...