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» Using multiscale top points in image matching
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DCOSS
2005
Springer
15 years 3 months ago
Design of Adaptive Overlays for Multi-scale Communication in Sensor Networks
In wireless sensor networks, energy and communication bandwidth are precious resources. Traditionally, layering has been used as a design principle for network stacks; hence routin...
Santashil PalChaudhuri, Rajnish Kumar, Richard G. ...
IVC
2007
95views more  IVC 2007»
14 years 9 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière
SMI
2008
IEEE
150views Image Analysis» more  SMI 2008»
15 years 4 months ago
SHREC'08 entry: Multi-view 3D retrieval using multi-scale contour representation
We describe in this paper a method for 3D shape indexing and retrieval that we apply on three data collections of the SHREC SHape Retrieval Contest 2008: Stability on watertight, ...
Thibault Napoleon, Tomasz Adamek, Francis Schmitt,...
CVPR
2009
IEEE
1976views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification
Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its popularity, these nonlinear SVMs have a complexity O(n...
Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huan...
SCALESPACE
2001
Springer
15 years 2 months ago
A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses
This paper develops and investigates a new approach for evaluating feature based object hypotheses in a direct way. The idea is to compute a feature likelihood map (FLM), which is ...
Ivan Laptev, Tony Lindeberg