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» Quick Shift and Kernel Methods for Mode Seeking
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ICPR
2006
IEEE
14 years 6 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
IROS
2006
IEEE
274views Robotics» more  IROS 2006»
13 years 11 months ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...
CHI
1999
ACM
13 years 9 months ago
The Reader's Helper: A Personalized Document Reading Environment
Over the last two centuries, reading styles have shifted away from the reading of documents from beginning to end and toward the skimming of documents in search of relevant inform...
Jamey Graham