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» Learning Object Shape: From Drawings to Images
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CVPR
2009
IEEE
16 years 11 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
CVPR
2010
IEEE
16 years 1 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
ICPR
2006
IEEE
16 years 5 months ago
Calibrating Freely Moving Cameras
We present a novel practical method for self-calibrating a camera which may move freely in space while changing it internal parameters by zooming. We show that point correspondenc...
Hassan Foroosh, Imran N. Junejo, Xiaochun Cao
CAIP
2007
Springer
118views Image Analysis» more  CAIP 2007»
15 years 11 months ago
Surface Reconstruction Using Polarization and Photometric Stereo
This paper presents a novel shape recovery technique that combines photometric stereo with polarization information. First, a set of ambiguous surface normals are estimated from po...
Gary Atkinson, Edwin R. Hancock
ICIAP
2009
ACM
15 years 11 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...