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» Methods for Feature Detection in Point Clouds
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ICCV
2003
IEEE
14 years 10 months ago
Space-time Interest Points
Local image features or interest points provide compact ract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points int...
Ivan Laptev, Tony Lindeberg
ECCV
2006
Springer
14 years 10 months ago
Detecting Symmetry and Symmetric Constellations of Features
A novel and efficient method is presented for grouping feature points on the basis of their underlying symmetry and characterising the symmetries present in an image. We show how s...
Gareth Loy, Jan-Olof Eklundh
ICCV
2007
IEEE
14 years 10 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 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
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
14 years 3 months ago
Human detection using multimodal and multidimensional features
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
Luciano Spinello, Roland Siegwart