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CVPR
2008
IEEE
13 years 9 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
PR
2008
173views more  PR 2008»
13 years 7 months ago
Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity
In this paper, we propose a new context-based method for object recognition. We first introduce a neuro-physiologically motivated visual part detector. We found that the optimal f...
Sungho Kim, Kuk-Jin Yoon, In-So Kweon
CVPR
2008
IEEE
14 years 10 months ago
Visual tracking with histograms and articulating blocks
We propose an algorithm for accurate tracking of (articulated) objects using online update of appearance and shape. The challenge here is to model foreground appearance with histo...
S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang
DEXA
2009
Springer
124views Database» more  DEXA 2009»
14 years 2 months ago
VisiNav: Visual Web Data Search and Navigation
Semantic Web technologies facilitate data integration over a large number of sources with decentralised and loose coordination, ideally leading to interlinked datasets which descri...
Andreas Harth
CVPR
2009
IEEE
13 years 11 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...