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» Building Shape Models from Lousy Data
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161
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IEEEICCI
2009
IEEE
15 years 1 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek
145
Voted
CVPR
2008
IEEE
15 years 5 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
152
Voted
ICHIM
2001
190views more  ICHIM 2001»
15 years 5 months ago
Chromatic Adaptation Post-Filtering in Image Synthesis Reproduction of Ancient Building for Restoration Support
Within the field of cultural heritage restoration, experts are interested in the analysis of data describing the condition and history of ancient monuments. Data are usually distr...
Maurizio Rossi, Daniele Marini, Alessandro Rizzi
160
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ECCV
2006
Springer
16 years 5 months ago
Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data
Abstract. Automatic delineation of anatomical structures in 3-D volumetric data is a challenging task due to the complexity of the object appearance as well as the quantity of info...
Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Srira...
170
Voted
3DIM
2011
IEEE
14 years 3 months ago
Toward Automatic 3D Generic Object Modeling from One Single Image
We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages t...
Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silv...