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» Position Estimation Using Principal Components of Range Data
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IROS
2006
IEEE
148views Robotics» more  IROS 2006»
14 years 18 days ago
Environment Understanding: Robust Feature Extraction from Range Sensor Data
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Antonio Romeo, Luis Montano
ICIP
2007
IEEE
14 years 8 months ago
Three Dimensional Face Recognition using Wavelet Decomposition of Range Images
Interest in face recognition systems has increased significantly due to the emergence of significant commercial opportunities in surveillance and security applications. In this pa...
Sina Jahanbin, Hyohoon Choi, Alan C. Bovik, Kennet...
ICPR
2010
IEEE
13 years 10 months ago
Extrinsic Camera Parameter Estimation Using Video Images and GPS Considering GPS Positioning Accuracy
Abstract--This paper proposes a method for estimating extrinsic camera parameters using video images and position data acquired by GPS. In conventional methods, the accuracy of the...
Hideyuki Kume, Takafumi Taketomi, Tomokazu Sato, N...
TASLP
2010
132views more  TASLP 2010»
13 years 1 months ago
Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization
Sound source localization (SSL) is an essential task in many applications involving speech capture and enhancement. As such, speaker localization with microphone arrays has receive...
Flavio Ribeiro, Cha Zhang, Dinei A. F. Florê...
WSCG
2004
166views more  WSCG 2004»
13 years 8 months ago
De-noising and Recovering Images Based on Kernel PCA Theory
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Pengcheng Xi, Tao Xu