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ICCV
2011
IEEE
12 years 7 months ago
Ask the locals: multi-way local pooling for image recognition
Invariant representations in object recognition systems are generally obtained by pooling feature vectors over spatially local neighborhoods. But pooling is not local in the featu...
Y-Lan Boureau, Nicolas Le Roux, francis bach, Jean...
ICIP
2006
IEEE
14 years 8 months ago
Video Scene Retrieval Based on Local Region Features
This paper describes a novel method for content extraction and scene retrieval for video sequences based on local region descriptors. The local invariant features are obtained for...
Arasanathan Anjulan, Cedric Nishan Canagarajah
CVPR
2005
IEEE
14 years 9 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
CIKM
2005
Springer
14 years 19 days ago
Rotation invariant indexing of shapes and line drawings
We present data representations, distance measures and organizational structures for fast and efficient retrieval of similar shapes in image databases. Using the Hough Transform w...
Michail Vlachos, Zografoula Vagena, Philip S. Yu, ...
BCS
2008
13 years 8 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...