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» Robust Duplicate Detection of 2D and 3D Objects
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BMVC
2010
13 years 4 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
NIPS
2003
13 years 7 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
CGI
2000
IEEE
13 years 10 months ago
Head Detection and Tracking by 2-D and 3-D Ellipsoid Fitting
A novel procedure for segmenting a set of scattered 3D data obtained from a head and shoulders multiview sequence is presented. The procedure consists of two steps. In the first ...
Nikos Grammalidis, Michael G. Strintzis
GI
2009
Springer
13 years 3 months ago
A Framework for Multiple Radar and Multiple 2D/3D Camera Fusion
Abstract: In this paper we present a framework for the fusion of radar and image information. In the case considered here we combine information from multiple closerange radars to ...
Marek Schikora, Benedikt Romba
CVPR
2012
IEEE
11 years 8 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...