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Line segment Hausdorff distance on face matching

✍ Scribed by Yongsheng Gao; Maylor K.H. Leung

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
531 KB
Volume
35
Category
Article
ISSN
0031-3203

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✦ Synopsis

A novel concept of line segment Hausdor! distance is proposed in this paper. Researchers apply Hausdor! distance to measure the similarity of two point sets. It is extended here to match two sets of line segments. The new approach has the advantage to incorporate structural and spatial information to compute the similarity. The added information can conceptually provide more and better distinctive capability for recognition. This would strengthen and enhance the matching process of similar objects such as faces. The proposed technique has been applied on line segments generated from the edge maps of faces with encouraging result that supports the concept experimentally. The results also implicate that line segments could provide su$cient information for face recognition. This might imply a new way for face coding and recognition.

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Noisy logo recognition using line segment Hausdorff distance
✍ Jingying Chen; Maylor K. Leung; Yongsheng Gao πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 540 KB

Logo recognition is of great interest in the document and shape analysis domain. In order to develop a recognition method that is robust to employ under adverse conditions such as di erent scale/orientation, broken curves, added noise and occlusion, a modiΓΏed line segment Hausdor distance is propose