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CVPR
2008
IEEE
15 years 12 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
BVAI
2007
Springer
15 years 4 months ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik
CVPR
2006
IEEE
15 years 12 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
ICPR
2006
IEEE
15 years 11 months ago
Using Specularities to Recover Multiple Light Sources in the Presence of Texture
Recovering multiple point light sources from a sparse set of photographs in which objects of unknown texture can move is challenging. This is because both diffuse and specular ref...
Pascal Lagger, Pascal Fua
ICCV
1999
IEEE
15 years 12 months ago
Free-Form Surface Registration using Surface Signatures
This paper introduces a new free-form surface representation scheme for the purpose of fast and accurate registration and matching. Accurate registration of surfaces is a common t...
Sameh M. Yamany, Aly A. Farag