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» On obfuscating point functions
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ICRA
2000
IEEE
136views Robotics» more  ICRA 2000»
14 years 2 months ago
Registration of Range Data Using a Hybrid Simulated Annealing and Iterative Closest Point Algorithm
The need to register data is abundant in applications such as: world modeling, part inspection and manufacturing, object recognition, pose estimation, robotic navigation, and reve...
Jason P. Luck, Charles Q. Little, William Hoff
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
13 years 8 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
ICIP
2009
IEEE
14 years 11 months ago
Segmentation On Surfaces With The Closest Point Method
We propose a method to detect objects and patterns in textures on general surfaces. Our approach applies the Chan?Vese variational model for active contours without edges to the p...
ICML
2005
IEEE
14 years 11 months ago
Beyond the point cloud: from transductive to semi-supervised learning
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
Vikas Sindhwani, Partha Niyogi, Mikhail Belkin
WADS
2005
Springer
95views Algorithms» more  WADS 2005»
14 years 3 months ago
Improved Approximation Bounds for Planar Point Pattern Matching
We analyze the performance of simple algorithms for matching two planar point sets under rigid transformations so as to minimize the directed Hausdorff distance between the sets....
Minkyoung Cho, David M. Mount