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» Probabilistic Modeling and Recognition of 3-D Objects
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PAMI
2012
11 years 10 months ago
Holistic Context Models for Visual Recognition
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...
Nikhil Rasiwasia, Nuno Vasconcelos
ICCV
2005
IEEE
14 years 1 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
ICCV
2005
IEEE
14 years 9 months ago
Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid
In this paper, we investigate what can be inferred from several silhouette probability maps, in multi-camera environments. To this aim, we propose a new framework for multi-view s...
Jean-Sébastien Franco, Edmond Boyer
SMA
2008
ACM
192views Solid Modeling» more  SMA 2008»
13 years 6 months ago
Identification of sections from engineering drawings based on evidence theory
View identification is the basal process for solid reconstruction from engineering drawings. A new method is presented to label various views from a section-involved drawing and i...
Jie-Hui Gong, Hui Zhang, Bin Jiang, Jia-Guang Sun
CVPR
2000
IEEE
14 years 9 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona