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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1269175.bibtex.
- aggregation hasFormat 1269175.csv.
- aggregation hasFormat 1269175.dc.
- aggregation hasFormat 1269175.didl.
- aggregation hasFormat 1269175.doc.
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- aggregation isPartOf urn:isbn:9783642240874.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Face analysis using curve edge maps".
- aggregation abstract "This paper proposes an automatic and real-time system for face analysis, usable in visual communication applications. In this approach, faces are represented with Curve Edge Maps, which are collections of polynomial segments with a convex region. The segments are extracted from edge pixels using an adaptive incremental linear-time fitting algorithm, which is based on constructive polynomial fitting. The face analysis system considers face tracking, face recognition and facial feature detection, using Curve Edge Maps driven by histograms of intensities and histograms of relative positions. When applied to different face databases and video sequences, the average face recognition rate is 95.51%, the average facial feature detection rate is 91.92% and the accuracy in location of the facial features is 2.18% in terms of the size of the face, which is comparable with or better than the results in literature. However, our method has the advantages of simplicity, real-time performance and extensibility to the different aspects of face analysis, such as recognition of facial expressions and talking.".
- aggregation authorList BK130330.
- aggregation endPage "118".
- aggregation issue "2".
- aggregation startPage "109".
- aggregation volume "6979".
- aggregation aggregates 3052536.
- aggregation isDescribedBy 1269175.
- aggregation similarTo 978-3-642-24088-1_12.
- aggregation similarTo LU-1269175.