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» An Approximate Algorithm for Structural Matching of Images
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MM
2005
ACM
215views Multimedia» more  MM 2005»
14 years 1 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
CVPR
2005
IEEE
14 years 10 months ago
Boosting Saliency in Color Image Features
The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus o...
Joost van de Weijer, Theo Gevers
TOG
2002
141views more  TOG 2002»
13 years 7 months ago
Geometry images
Surface geometry is often modeled with irregular triangle meshes. The process of remeshing refers to approximating such geometry using a mesh with (semi)-regular connectivity, whi...
Xianfeng Gu, Steven J. Gortler, Hugues Hoppe
CVPR
2009
IEEE
15 years 3 months ago
Learning query-dependent prefilters for scalable image retrieval
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...
MMM
2011
Springer
251views Multimedia» more  MMM 2011»
12 years 11 months ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...