Semi-automatic adaptation of high-polygon wireframe face models through inverse perspective projection
Yükleniyor...
Dosyalar
Tarih
2012
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer-Verlag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Precise registration of a generic 3D face model with a subject's face is a critical stage for model based analysis of facial expressions. In this study we propose a semi-automatic model fitting algorithm to fit a high-polygon wireframe model to a single image of a face. We manually mark important landmark points both on the wireframe model and the face image. We carry out an initial alignment by translating and scaling the wireframe model. We then translate the landmark vertices in the 3D wireframe model so that they coincide with inverse perspective projections of image landmark points. The vertices that are not manually labeled as landmark are translated with a weighted sum of vectorial displacement of k neighboring landmark vertices, inversely weighted by their 3D distances to the vertex under consideration. Our experiments indicate that we can fit a high-polygon model to the subject's face with modest computational complexity.
Açıklama
Anahtar Kelimeler
Adaptation, Face model customization, Facial expression analysis, Generic wireframe, High-polygon, Initialization, Landmark, Perspective projection, Face modeling, Face recognition, Geometry, Information science, Three dimensional
Kaynak
Computer and Information Sciences II
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Benli, K. S., Aǧdoǧan, D., Özgüz, M. & Eskil, M. T. (2012). Semi-automatic adaptation of high-polygon wireframe face models through inverse perspective projection. Paper presented at the Computer and Information Sciences II, 315-321. doi:10.1007/978-1-4471-2155-8-40
