Abstract
We propose an animation system for personalized human head. Landmarks compliant to MPEG-4 facial definition parameters (FDP) are initially labeled on both template model and any target human head model as priori knowledge. The deformation from the template model to the target head is through a multilevel training process. Both general radial basis function (RBF) and compactly supported radial basis function (CSRBF) are applied to ensure the fidelity of the global shape and face features. Animation factor is also adapted so that the deformed model still can be considered as an animated head. Situations with defective scanned data are also discussed in this paper.
Highlights
Many research efforts have been focused on the achievement of realistic representation of human face since the pioneer work of Parke [1]
The approach no.1 works in our system, but we still want a better result for the local detail of our model, increasing the corresponding number of points does not solve the problem and the error during the corresponding points registration will lead to more manual work, so we propose our second approach of our adaption method, which is based on compactly supported radial basis function (CSRBF)
The adaption of the skull is done using the same technique we introduced in Section 3, since the skull is the main factor that affects the shape of human head, all the feature points used during the last stage described in Section 4 should be applied
Summary
Many research efforts have been focused on the achievement of realistic representation of human face since the pioneer work of Parke [1]. The complex facial anatomical structure and various facial tissue behavior make it still a formidable challenge in computer graphics area. The animated head system can find place in multimedia applications, including human-computer interaction, video conference system, and entertainment industry. For traditional facial shape modeling, we need a skilled modeler to spend a lot of time on building the model from scratch. With the availability of range scanners, the shape information is already obtainable in seconds.
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