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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 9 months ago
Unsupervised discovery of repetitive objects
We present a novel approach for unsupervised discovery of repetitive objects from 3D point clouds. Our method assumes that objects are geometrically consistent, and uses multiple o...
Jiwon Shin, Rudolph Triebel, Roland Siegwart
ICPR
2004
IEEE
16 years 27 days ago
A Statistical Shape Model without Using Landmarks
This paper describes the construction of a statistical shape model based on the iterative closest point algorithm. The method does not require manual nor automatic identification ...
Frans Vos, Paul W. de Bruin, J. G. M. Aubel, Geert...
3DIM
2007
IEEE
15 years 6 months ago
Outlier Robust ICP for Minimizing Fractional RMSD
We describe a variation of the iterative closest point (ICP) algorithm for aligning two point sets under a set of transformations. Our algorithm is superior to previous algorithms...
Jeff M. Phillips, Ran Liu, Carlo Tomasi
ECOOP
2007
Springer
15 years 6 months ago
Morphing: Safely Shaping a Class in the Image of Others
We present MJ: a language for specifying general classes whose members are produced by iterating over members of other classes. We call this technique “class morphing” or just ...
Shan Shan Huang, David Zook, Yannis Smaragdakis
SIAMCO
2002
71views more  SIAMCO 2002»
14 years 11 months ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner