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» Building Shape Models from Lousy Data
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138
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ALT
2010
Springer
15 years 5 months ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
Kotagiri Ramamohanarao
115
Voted
ICPR
2010
IEEE
15 years 1 months ago
Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles
Abstract--In this paper we introduce a probabilistic approach of building extraction in remotely sensed images. To cope with data heterogeneity we construct a flexible hierarchical...
Csaba Benedek, Xavier Descombes, Josiane Zerubia
109
Voted
QUACON
2009
Springer
15 years 10 months ago
Presentation and Evaluation of Inconsistencies in Multiply Represented 3D Building Models
Open architectures demand for a federation of data from different context providers, which nearly always will be inconsistent to a certain degree. We present an approach for the ev...
Michael Peter
193
Voted
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
15 years 7 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...
161
Voted
CVIU
2011
14 years 7 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla