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» HITS is Principal Components Analysis
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99
Voted
FGR
2000
IEEE
200views Biometrics» more  FGR 2000»
15 years 5 months ago
The Global Dimensionality of Face Space
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
Penio S. Penev, Lawrence Sirovich
140
Voted
ICVS
1999
Springer
15 years 4 months ago
Face-Tracking and Coding for Video Compression
While computing power and transmission bandwidth have both been steadily increasing over the last few years, bandwidth rather than processing power remains the primary bottleneck f...
William E. Vieux, Karl Schwerdt, James L. Crowley
135
Voted
ICIP
2007
IEEE
15 years 4 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
ICCV
1995
IEEE
15 years 4 months ago
Object Indexing Using an Iconic Sparse Distributed Memory
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
Rajesh P. N. Rao, Dana H. Ballard
BMVC
2002
15 years 3 months ago
Practical Generation of Video Textures using the Auto-Regressive Process
Recently, there have been several attempts at creating `video textures', that is, synthesising new (potentially infinitely long) video clips based on existing ones. One way t...
Neill W. Campbell, Colin J. Dalton, David P. Gibso...