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ICIP
2005
IEEE
14 years 3 months ago
A tensor-like representation for averaging, filtering and interpolation of 3-D object orientation data
Averaging, filtering and interpolation of 3-D object orientation data is important in both computer vision and computer graphics, for instance to smooth estimates of object orien...
Anders Brun, Carl-Fredrik Westin, Steven Haker, Ha...
AVSS
2009
IEEE
13 years 7 months ago
Landmark Localisation in 3D Face Data
A comparison of several approaches that use graph matching and cascade filtering for landmark localisation in 3D face data is presented. For the first method, we apply the structur...
Marcelo Romero, Nick Pears
COSIT
2005
Springer
185views GIS» more  COSIT 2005»
14 years 3 months ago
3D Topographic Data Modelling: Why Rigidity Is Preferable to Pragmatism
In this paper two concepts for modelling 3D topography are introduced. The first concept is a very pragmatic approach of 3D modelling, trying to model as much as possible in (less...
Friso Penninga
BMVC
2010
13 years 7 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
MVA
1996
164views Computer Vision» more  MVA 1996»
13 years 11 months ago
3D Data Driven Prediction for Active Contour Models with Application to Car Tracking
In this paper we apply a new data driven 3D prediction step for active contour models to car tracking on highways. The so called 3D bounding volume (BV) is a coarse 3D representat...
Joachim Denzler, Heinrich Niemann