{"id":135,"date":"2013-04-04T17:04:40","date_gmt":"2013-04-04T17:04:40","guid":{"rendered":"https:\/\/beta.research.ece.ncsu.edu\/aros\/?post_type=project&p=135"},"modified":"2017-11-21T19:42:51","modified_gmt":"2017-11-21T19:42:51","slug":"pattern-analysis","status":"publish","type":"project","link":"https:\/\/research.ece.ncsu.edu\/aros\/project\/pattern-analysis\/","title":{"rendered":"Robust Visual Pattern Analysis"},"content":{"rendered":"

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Robust Visual Pattern Analysis<\/strong><\/p>\n

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The objective of this research is the development of a mathematical framework that enables the identification, characterization and matching of patterns in imaging data with certain guarantees. The application areas for this project include medical imaging, autonomous driving systems, and segmentation of natural and biological images. This work has been partially funded by the NSF under award CNS-1239323.<\/p>\n

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Publications:<\/strong><\/p>\n

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  1. Q. Ge and E. Lobaton, \u201cObstacle Detection in Outdoor Scenes based on Multi-Valued Stereo Disparity Maps,<\/strong>\u201d\u00a0IEEE Symp. Series on Computational Intelligence (SSCI), 2017.<\/li>\n
  2. Q.Ge and E. Lobaton, “Consensus-Based Image Segmentation via Topological Persistence<\/strong>,” Intl. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML) at CVPR, 2016.<\/li>\n
  3. S. Chattopadhyay, Q. Ge. C. Wei and E. Lobaton, \u201cRobust Multi-Target Tracking in Outdoor Traffic Scenarios via Persistence Topology based Robust Motion Segmentation<\/strong>,\u201d IEEE Global Conf. on Signal and Information Processing (GlobalSIP), 2015.<\/li>\n
  4. C. Wei, “Driver Assistant System: Robust Segmentation based on Topological Persistent Analysis and Multi-target Tracking based on Dynamic Programming<\/strong>,” Masters NCSU, 2014<\/li>\n
  5. C. Wei, Q. Ge, S. Chattopadhyay, and E. Lobaton, \u201cRobust Obstacle Segmentation based on Topological Persistence in Outdoor Traffic Scenes<\/strong>,\u201d IEEE Symposium Series on Computational Intelligence (SSCI), 2014.<\/li>\n
  6. Q. Ge, N. Lokare, and E. Lobaton, \u201cNon-Rigid Image Registration under non-Deterministic Deformation Bounds<\/strong>,\u201d Intl. Symposium on Medical Information Processing and Analysis (SIPAIM), 2014.<\/li>\n<\/ol>\n

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