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» Learning Hierarchical Models of Scenes, Objects, and Parts
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ECCV
2004
Springer
15 years 11 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
ASSETS
2006
ACM
15 years 3 months ago
Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognit
In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Andreas Hub, Tim Hartter, Thomas Ertl
PAMI
2010
181views more  PAMI 2010»
14 years 8 months ago
Using Language to Learn Structured Appearance Models for Image Annotation
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
SMA
2003
ACM
169views Solid Modeling» more  SMA 2003»
15 years 3 months ago
Surface reconstruction of freeform objects based on multiresolution volumetric method
3D scanners developed over the past several decades have facilitated the reconstruction of complicated engineering parts. Typically the boundary representation of a part is recons...
Sergei Azernikov, Alex Miropolsky, Anath Fischer
CVPR
2005
IEEE
15 years 3 months ago
A Discriminative Framework for Modelling Object Classes
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
Alex Holub, Pietro Perona