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19 results on '"Park BO"'

13. Cluster and Polynuclear Compounds

Author

Wang, Ruiyao, primary, Zheng, Zhiping, additional, Koknat, Friedrich W., additional, Marko, David J., additional, Müller, Achim, additional, Das, Samar K., additional, Krickemeyer, Erich, additional, Kuhlmann, Christoph, additional, Therrien, Bruno, additional, Plasseraud, Laurent, additional, Süss-Fink, Georg, additional, Pasquale, Antonio Di, additional, Lei, Xinjian, additional, Fehlner, Thomas P., additional, Diz, Enrique Lozano, additional, Haak, Susanne, additional, Cariati, Elena, additional, Dragonetti, Claudia, additional, Lucenti, Elena, additional, Roberto, Dominique, additional, Lee, Chang Yeon, additional, Song, Hyunjoon, additional, Lee, Kwangyeol, additional, Park, Bo Keun, additional, Park, Joon T., additional, Hutchison, James E., additional, Foster, Evan W., additional, Warner, Marvin G., additional, Reed, Scott M., additional, and Weare, Walter W., additional

Published
2004
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17. A New Similarity Measure for Random Signatures: Perceptually Modified Hausdorff Distance.

Author

Blanc-Talon, Jacques, Philips, Wilfried, Popescu, Dan, Scheunders, Paul, Park, Bo Gun, Lee, Kyoung Mu, and Lee, Sang Uk

Abstract

In most content-based image retrieval systems, the low level visual features such as color, texture and region play an important role. Variety of dissimilarity measures were introduced for an uniform quantization of visual features, or a histogram. However, a cluster-based representation, or a signature, has proven to be more compact and theoretically sound for the accuracy and robustness than a histogram. Despite of these advantages, so far, only a few dissimilarity measures have been proposed. In this paper, we present a novel dissimilarity measure for a random signature, Perceptually Modified Hausdorff Distance (PMHD), based on Hausdorff distance. In order to demonstrate the performance of the PMHD, we retrieve relevant images for some queries on real image database by using only color information. The precision vs. recall results show that the proposed dissimilarity measure generally outperforms all other dissimilarity measures on an unmodified commercial image database. [ABSTRACT FROM AUTHOR]

Published
2006
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18. A Novel Stochastic Attributed Relational Graph Matching Based on Relation Vector Space Analysis.

Author

Blanc-Talon, Jacques, Philips, Wilfried, Popescu, Dan, Scheunders, Paul, Park, Bo Gun, Lee, Kyoung Mu, and Lee, Sang Uk

Abstract

In this paper, we propose a novel stochastic attributed relational graph (SARG) matching algorithm in order to cope with possible distortions due to noise and occlusion. The support flow and the correspondence measure between nodes are defined and estimated by analyzing the distribution of the attribute vectors in the relation vector space. And then the candidate subgraphs are extracted and ordered according to the correspondence measure. Missing nodes for each candidates are identified by the iterative voting scheme through an error analysis, and then the final subgraph matching is carried out effectively by excluding them. Experimental results on the synthetic ARGs demonstrate that the proposed SARG matching algorithm is quite robust and efficient even in the noisy environment. Comparative evaluation results also show that it gives superior performance compared to other conventional graph matching approaches. [ABSTRACT FROM AUTHOR]

Published
2006
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19. A New Video Surveillance System Employing Occluded Face Detection.

Author

Ali, Moonis, Esposito, Floriana, Kim, Jaywoo, Sung, Younghun, Yoon, Sang Min, and Park, Bo Gun

Abstract

We present an example-based learning approach for detecting a partially occluded human face in a scene provided by a camera of Automated Teller Machine (ATM) in a bank. Gradient mapping in scale space is applied on an original image, providing human face representation robust to illumination variance. Detection of the partially occluded face, which can be used in characterization of suspicious ATM users, is then performed based on Support Vector Machine (SVM) method. Experimental results show that a high detection rate over 95% is achieved in image samples acquired from in-use ATM. [ABSTRACT FROM AUTHOR]

Published
2005
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