Three-Dimensional Face Reconstruction From a Single Image by a Coupled RBF Network

Reconstruction of a 3-D face model from a single 2-D face image is fundamentally important for face recognition and animation because the 3-D face model is invariant to changes of viewpoint, illumination, background clutter, and occlusions. Given a coupled training set that contains pairs of 2-D fac...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on image processing 2012-05, Vol.21 (5), p.2887-2897
Hauptverfasser:	Song, Mingli, Tao, Dacheng, Huang, Xiaoqin, Chen, Chun, Bu, Jiajun
Format:	Artikel
Sprache:	eng
Schlagworte:	3-D face reconstruction Algorithms Applied sciences Artificial Intelligence Biometry - methods Coupled RBF network Exact sciences and technology Face Face - anatomy & histology Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image reconstruction Information, signal and communications theory Mapping Networks Neurons Pattern recognition Pattern Recognition, Automated - methods Radial basis function networks Reconstruction Representations Reproducibility of Results Sensitivity and Specificity Shape Signal processing single image Solid modeling Studies Telecommunications and information theory Three dimensional Three dimensional models Training
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!