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SMI
2010
IEEE
188views Image Analysis» more  SMI 2010»
15 years 5 months ago
Sharp Feature Detection in Point Clouds
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
Christopher Weber, Stefanie Hahmann, Hans Hagen
COMGEO
2008
ACM
15 years 6 months ago
An optimal randomized algorithm for d-variate zonoid depth
A randomized linear expected-time algorithm for computing the zonoid depth (Dyckerhoff et al 1996, Mosler 2002) of a point with respect to a fixed dimensional point set is presente...
Pat Morin
CHI
2003
ACM
16 years 7 months ago
Refining Fitts' law models for bivariate pointing
We investigate bivariate pointing in light of the recent progress in the modeling of univariate pointing. Unlike previous studies, we focus on the effect of target shape (width an...
Johnny Accot, Shumin Zhai
3DPVT
2006
IEEE
189views Visualization» more  3DPVT 2006»
16 years 26 days ago
Fast Safe Spline Surrogates for Large Point Clouds
To support real-time computation with large, possibly evolving point clouds and range data, we fit a trimmed uniform tensor-product spline function from one direction. The graph ...
Ashish Myles, Jörg Peters
167
Voted
ICCV
2007
IEEE
16 years 8 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