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» Monte Carlo Localization Using SIFT Features
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WACV
2012
IEEE
13 years 7 months ago
CompactKdt: Compact signatures for accurate large scale object recognition
We present a novel algorithm, Compact Kd-Trees (CompactKdt), that achieves state-of-the-art performance in searching large scale object image collections. The algorithm uses an or...
Mohamed Aly, Mario E. Munich, Pietro Perona
ICPR
2002
IEEE
16 years 26 days ago
Radial Projections for Non-Linear Feature Extraction
In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements...
Alberto J. Pérez Jiménez, Juan Carlo...
114
Voted
ICIP
2008
IEEE
16 years 1 months ago
Using point correspondences without projective deformation for multi-view stereo reconstruction
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. In a first pass, it uses Scale Invariant Features Transform (SIFT) descriptor co...
Adrien Auclair, Nicole Vincent, Laurent D. Cohen
97
Voted
IVC
2007
109views more  IVC 2007»
14 years 11 months ago
Hierarchical building recognition
In urban areas, buildings are often used as landmarks for localization. Reliable and efficient recognition of buildings is crucial for enabling this functionality. Motivated by t...
Wei Zhang, Jana Kosecká
81
Voted
ICMCS
2006
IEEE
107views Multimedia» more  ICMCS 2006»
15 years 5 months ago
On the Detection of Multiplicative Watermarks for Speech Signals in the Wavelet and DCT Domains
Blind multiplicative watermarking schemes for speech signals using wavelets and discrete cosine transform are presented. Watermarked signals are modeled using a generalized Gaussi...
Ramin Eslami, John Deller, Hayder Radha