Type

Conference Proceedings

Authors

Noel Murphy
Derek Molloy
Bartlomiej Uscilowski
Eamonn Boyle

Subjects

Computer Science

Topics
creation information retrieval feature detection image processing virtual world individual human facial feature extraction

Using facial feature extraction to enhance the creation of 3D human models (2005)

Abstract The creation of personalised 3D characters has evolved to provide a high degree of realism in both appearance and animation. Further to the creation of generic characters the capabilities exist to create a personalised character from images of an individual. This provides the possibility of immersing an individual into a virtual world. Feature detection, particularly on the face, can be used to greatly enhance the realism of the model. To address this innovative contour based templates are used to extract an individual from four orthogonal views providing localisation of the face. Then adaptive facial feature extraction from multiple views is used to enhance the realism of the model.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science: Image processing
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Noel Murphy, Derek Molloy, Bartlomiej Uscilowski, Eamonn Boyle

Experts in our system

1
Noel Murphy
Dublin City University
Total Publications: 56