Browsing by Author "Muhammad Danish Tufail"

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    Semi-automatic feature based approach for sketch to image matching
    (University of Management and Technology, 2015) Bilal Siddiqui; Abdul Rahman; Muhammad Danish Tufail
    A 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.
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    Semi-automatic feature based approach for sketch to image matching
    (UNIVERSITY OF MANAGEMENT AND TECHNOLOGY, 2015) Bilal Siddiqui; Abdul Rahman; Muhammad Danish Tufail
    A 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.
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    Semi-automatic feature-based approach for sketch to image matching
    (UMT Lahore, 2015-09-15) Bilal Siddiqui; Abdul Rahman; Muhammad Danish Tufail
    A 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 with image-based facial features of human subjects. Loosely termed as “sketch-to-photo” matching, this problem is complicated by a wide variety of factors in both sketches and photos, some of which include angle, color, lighting, and scale. Our proposed approach overcomes these difficulties through normalization of inputs and selection of prominent and reliable feature 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.