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103
Voted
CVPR
2008
IEEE
16 years 2 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
CVPR
2008
IEEE
16 years 2 months ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
107
Voted
ICCV
2005
IEEE
15 years 6 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
108
Voted
GRAPHITE
2007
ACM
15 years 4 months ago
GPU-based shape from silhouettes
In this paper, we present a new method for surface-based shape reconstruction from a set of silhouette images. We propose to project the viewing cones from all viewpoints to the 3...
Sofiane Yous, Hamid Laga, Masatsugu Kidode, Kunihi...
106
Voted
BMVC
2002
15 years 3 months ago
Real-time gesture recognition using deterministic boosting
A gesture recognition system which can reliably recognize single-hand gestures in real time on a 600Mhz notebook computer is described. The system has a vocabulary of 46 gestures ...
Raymond Lockton, Andrew W. Fitzgibbon