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dc.contributor.authorBalakrishnan, G.-
dc.contributor.authorSainarayanan, G.-
dc.contributor.authorNagarajan, R.-
dc.contributor.authorSazali, Yaacob-
dc.date.accessioned2009-08-14T02:38:54Z-
dc.date.available2009-08-14T02:38:54Z-
dc.date.issued2005-
dc.identifier.citationp.1-4en_US
dc.identifier.isbn0-7803-9311-2-
dc.identifier.urihttp://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4085061-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6895-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.orgen_US
dc.description.abstractNavigation is a significant barrier to individuals with visual impairments. In response to this barrier, a wearable stereo-vision system was investigated and a prototype system named Stereo Vision based Electronic Travel Aid (SVETA) has been developed. Stereo cameras are employed in the SVETA in order to provide information about orientation, distance, shape and size of the obstacles or objects infront of the user. Stereo vision has long been one of the central problem in computer vision, and stereo matching is the most important and critical issue of stereo vision. In this paper, similarity measure for stereo matching based on fuzzy relations is used to establish the correspondence in the presence of intensity variations in stereo images. The strength of relationship of fuzzified data of the windows in left and the right images of stereo pairs is determined by considering the appropriate fuzzy aggregation operators. However, these measures fail to establish correspondence over the occluded pixels. Left/Right consistence check is performed to overcome these problems. The final disparity map is then conveyed to the blind user through musical tone based image sonification. Experiments with standard and real time images have been conducted to demonstrate the effectiveness of the algorithms.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineering (IEEE)en_US
dc.relation.ispartofseriesProceedings of the IEEE Region 10 Annual International Conference (TENCON 2005)en_US
dc.subjectComputer visionen_US
dc.subjectElectronic equipmenten_US
dc.subjectFuzzy setsen_US
dc.subjectPattern matchingen_US
dc.subjectFuzzy matching schemeen_US
dc.subjectFuzzy relationsen_US
dc.subjectWearable stereo vision systemsen_US
dc.subjectStereo visionen_US
dc.subjectMedical image processingen_US
dc.subjectUltrasonic imagingen_US
dc.subjectStereo image processingen_US
dc.titleFuzzy matching scheme for stereo vision based electronic travel aiden_US
dc.typeArticleen_US
Appears in Collections:School of Mechatronic Engineering (Articles)
Sazali Yaacob, Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.

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