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GBRPR
2007
Springer
15 years 10 months ago
Graph-Based Methods for Retinal Mosaicing and Vascular Characterization
In this paper, we propose a highly robust point-matching method (Graph Transformation Matching - GTM) relying on finding the consensus graph emerging from putative matches. Such m...
Wendy Aguilar, M. Elena Martínez-Pér...
DAGM
2001
Springer
15 years 9 months ago
A New Contour-Based Approach to Object Recognition for Assembly Line Robots
A complete processing chain for visual object recognition is described in this paper. The system automatically detects individual objects on an assembly line, identifies their typ...
Markus Suing, Lothar Hermes, Joachim M. Buhmann
FGR
2006
IEEE
102views Biometrics» more  FGR 2006»
15 years 10 months ago
Robust Spotting of Key Gestures from Whole Body Motion Sequence
Robust gesture recognition in video requires segmentation of the meaningful gestures from a whole body gesture sequence. This is a challenging problem because it is not straightfo...
Hee-Deok Yang, A-Yeon Park, Seong-Whan Lee
CVPR
2008
IEEE
16 years 6 months ago
Graph-shifts: Natural image labeling by dynamic hierarchical computing
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
Jason J. Corso, Alan L. Yuille, Zhuowen Tu
185
Voted
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
16 years 1 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar