Semi-automatic feature based approach for sketch to image matching

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dc.contributor.authorBilal Siddiqui
dc.contributor.authorAbdul Rahman
dc.contributor.authorMuhammad Danish Tufail
dc.date.accessioned2016-05-20T11:51:36Z
dc.date.available2016-05-20T11:51:36Z
dc.date.issued2015
dc.descriptionProject advisor: Sir Syed Farooq Alien_US
dc.description.abstractA semi-automatic feature-based approach for sketch to image matching is presented which is used to achieve matching or recognition of sketch-based facial features to image-based facial features of human subjects. Loosely termed as ‘sketch to photo' matching, this problem is complicated by the wide possible variety of factors in both the sketches and the photos, some of which are angles, color, lighting and scale. Our proposed approach overcomes these difficulties by normalization of inputs and selection of some prominent and reliable features points. The basis of comparison between corresponding feature points is the ratio of Euclidean distances which makes the approach scale independent. The approach promises discernible improvements in accuracy and efficiency.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/1968
dc.publisherUniversity of Management and Technologyen_US
dc.subjectBS Thesisen_US
dc.subjectSemi-automaticen_US
dc.subjectSketch to image matchingen_US
dc.titleSemi-automatic feature based approach for sketch to image matchingen_US
dc.titleSemi-automatic feature based approach for sketch to image matchingen_us
dc.typeThesisen_US
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