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Towards context consistency by concurrent checking for Internetware applications

Science China(Information Sciences) 2013年第8期56卷 69-88页

作者： XU Chang LIU YePang CHEUNG S.C. CAO Chun LV Jian State Key Laboratory for Novel Software Technology Nanjing University Department of Computer Science and Technology Nanjing University Department of Computer Science and Engineering The Hong Kong University of Science and Technology

Internetware applications are emerging and being widely *** can adapt their behavior based on environmental contexts and deliver smart *** contexts can be subject to various noises,which cause them to be inaccurate,incomplete,or even to conflict with each *** is known as context inconsistency *** inconsistency can trigger unexpected behavior to applications,and therefore should be *** promising approach is to check contexts against consistency constraints so as to detect the occurrences of context inconsistency at *** techniques have attempted different ways to improve the checking efficiency or effectiveness with different trade-offs in space overhead or communication ***,none of them has exploited multi-core computing capability to systematically improve the checking *** this paper,we propose a novel concurrent checking technique Con-C to efficiently detect inconsistencies in huge volumes of dynamic ***-C derives checking subtasks for each consistency constraint based on its structure and *** achieves this in a fully automated way,and at the same time can guarantee its derived checking subtasks to be persistently *** evaluated Con-C by controlled experiments through a large-scale real-world *** reported promising results that Con-C improved the checking efficiency by extra 57.0%,in addition to what had been gained by incremental checking.

关键词： concurrent checking consistency constraint context inconsistency pervasive computing Internetware

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Greedy calibration method for binocular camera system via characteristic homography matrix

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Journal of Southeast University(English Edition) 2009年第2期25卷 193-198页

作者：刘天亮金飞逸罗立民东南大学影像科学与技术实验室南京210096

A plane-based and linear camera calibration technique without considering lens distortion is proposed in a greedy and intuitive framework for the binocular camera system. Characteristic homography matrix and consistency constraints in close range are employed in this calibration. First, in order to calculate the internal geometries of the cameras, total least-square fitting as a robust tool for the geometrical cost function is exploited to recover the accurate principal point of each camera from all the characteristic lines of the homography matrices for all model planes. Secondly, generic prior knowledge of the aspect ratio of pixel cells is incorporated into the system to obtain the exact principal length in each camera. Thirdly, extrinsic geometries are accurately computed for all planar patterns with respect to each monocular camera. Finally, the rigid displacement between binocular cameras can be obtained by imposing the consistency constraints in 3-space geometry. Both simulation and real image experimental results indicate that reasonably reliable results can be obtained by this technique. And the proposed method is sufficient for applications where high precision is not required and can be easily performed by common computer users who are not experts in computer vision.

关键词： close range calibration homography matrix consistency constraint stereovision

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