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CSDA
2008
80views more  CSDA 2008»
13 years 8 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
SIGGRAPH
1991
ACM
13 years 11 months ago
Convolution surfaces
Smoothly blended articulated models are often difficult to construct using current techniques. Our solution in this paper is to extend the surfaces introduced by Blinn [Blinn 1982...
Jules Bloomenthal, Ken Shoemake
ECCV
2004
Springer
14 years 9 months ago
Line Geometry for 3D Shape Understanding and Reconstruction
We understand and reconstruct special surfaces from 3D data with line geometry methods. Based on estimated surface normals we use approximation techniques in line space to recogniz...
Helmut Pottmann, Michael Hofer, Boris Odehnal, Joh...
ICRA
1999
IEEE
97views Robotics» more  ICRA 1999»
14 years 7 days ago
Using Infrared Sensors and the Phong Illumination Model to Measure Distances
Currently, the viability of infrared IR as an accurate means of measuring distance depends on extensive prior knowledge of the surface. More speci cally, the manner in which a sur...
Paul M. Novotny, Nicola J. Ferrier
ICASSP
2009
IEEE
14 years 2 months ago
Data-driven online variational filtering in wireless sensor networks
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...