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DAGM
2005
Springer
14 years 2 months ago
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
Christian Plagemann, Thomas Müller, Wolfram B...
ISMAR
2005
IEEE
14 years 2 months ago
Calibration Errors in Augmented Reality: A Practical Study
This paper confronts some theoretical camera models to reality and evaluates the suitability of these models for effective augmented reality (AR). It analyses what level of accura...
Javier-Flavio Vigueras Gomez, Gilles Simon, Marie-...
CVIU
2006
219views more  CVIU 2006»
13 years 8 months ago
Boundary matting for view synthesis
In the last few years, new view synthesis has emerged as an important application of 3D stereo reconstruction. While the quality of stereo has improved, it is still imperfect, and...
Samuel W. Hasinoff, Sing Bing Kang, Richard Szelis...
CVPR
2012
IEEE
11 years 11 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
EGITALY
2006
13 years 10 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...