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» Position Estimation Using Principal Components of Range Data
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ICCV
2005
IEEE
14 years 9 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
WACV
2005
IEEE
14 years 27 days ago
Epipolar Constraints for Vision-Aided Inertial Navigation
— This paper describes a new method to improve inertial navigation using feature-based constraints from one or more video cameras. The proposed method lengthens the period of tim...
David D. Diel, Paul DeBitetto, Seth J. Teller
ICPR
2002
IEEE
14 years 8 months ago
Dense Estimation of Surface Reflectance Properties of Objects with Interreflections
In augmented virtuality which virtualizes real objects to construct a mixed reality environment, it is important to estimate object surface reflectance properties to render object...
Takashi Machida, Naokazu Yokoya
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
14 years 7 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
CGI
2004
IEEE
13 years 11 months ago
Probabilistic Motion Sequence Generation
Creating long animation sequences with non-trivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based ...
Mirko Sattler, Ralf Sarlette, Reinhard Klein