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ACCV
2009
Springer
14 years 1 months ago
Image Classification Using Probability Higher-Order Local Auto-Correlations
Abstract. In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an ext...
Tetsu Matsukawa, Takio Kurita
PAMI
2010
188views more  PAMI 2010»
13 years 9 months ago
Spatial-Temporal Fusion for High Accuracy Depth Maps Using Dynamic MRFs
— Time-of-flight range sensors and passive stereo have complimentary characteristics in nature. To fuse them to get high accuracy depth maps varying over time, we extend traditi...
Jiejie Zhu, Liang Wang 0002, Jizhou Gao, Ruigang Y...
CVPR
2009
IEEE
15 years 6 months ago
Holistic Context Modeling using Semantic Co-occurrences
We present a simple framework to model contextual relationships between visual concepts. The new framework combines ideas from previous object-centric methods (which model conte...
Nikhil Rasiwasia (University Of California, San Di...
ICPR
2008
IEEE
14 years 5 months ago
Flexible object recognition in cluttered scenes using relative point distribution models
This paper introduces an edge-based object recognition method that is robust with respect to clutter, occlusion and object deformations. The method combines the use of local featu...
Alexandros Bouganis, Murray Shanahan