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» Estimating Vision Parameters given Data with Covariances
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86
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TSMC
2010
14 years 4 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
ICPR
2006
IEEE
15 years 10 months ago
Planar Structure Based Registration of Multiple Range Images
In this paper, we describe the method for aligning multiple range images given by a range finder. Especially we will use range images of inside and outside of buildings which cont...
Daiju Watanabe, Hideo Saito
91
Voted
CORR
2010
Springer
237views Education» more  CORR 2010»
14 years 7 months ago
Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
Srimal Jayawardena, Marcus Hutter, Nathan Brewer
IROS
2006
IEEE
151views Robotics» more  IROS 2006»
15 years 3 months ago
Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras
— We propose a vision-based inertial system that overcomes the problems associated with slow update rates in navigation systems based on high-resolution cameras. Due to bandwidth...
Darius Burschka
IPMI
2003
Springer
15 years 10 months ago
Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
P. Thomas Fletcher, Sarang C. Joshi, Conglin Lu, S...