Efficient Modeling for Animating Human Face

Kim, Soo-Kyun; An, Sung-Og; Kim, Hoon-Tai; Hong, Min

doi:10.1109/umc.2008.16

Cited by 2 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in order to elaborate facial animation, numerous triangles are needed, which significantly increases storage costs. Thus, in order to reduce the number of triangles needed to describe the face animation, many experts and scholars have proposed simplified 3D animation methods, including Deformation Sensitive Decimation (DSD) [23,24], Feature Edge Quadric (FEQ) [25], Facial Features Region Partition [26], and MPEG-4 Quadric-based LoD Simplification [27]. However, most of them are derived from QSlim [28], proposed by Garland and Heckbert, and DSD [23], proposed by Mohr and Gleicher. QSlim [28] is one of the most famous 3D model simplification methods [29].…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, QSlim can only simplify 3D static models, whereas 3D animation typically contains various frame models. Consequently, in order to utilize QSlim for 2 Mathematical Problems in Engineering Figure 1: Simplification results using Feature Edge Quadric [25]. simplification of 3D animation, Mohr and Gleicher proposed the DSD method [23].…”

Section: Introductionmentioning

confidence: 99%

“…In order to preserve the facial expression features when simplifying face animation, Kim et al [25] established 32 feature points and adopted FEQ to preserve facial animation features, as shown in Figure 1; Wang et al [26] used Facial Features Region Partition to set a scope on the face, which is intended to preserve the desired facial features. Its simplification results are shown in Figure 2.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Improved Surface Simplification Method for Facial Expression Animation Based on Homogeneous Coordinate Transformation Matrix and Maximum Shape Operator

Tseng

2016

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Facial animation is one of the most popular 3D animation topics researched in recent years. However, when using facial animation, a 3D facial animation model has to be stored. This 3D facial animation model requires many triangles to accurately describe and demonstrate facial expression animation because the face often presents a number of different expressions. Consequently, the costs associated with facial animation have increased rapidly. In an effort to reduce storage costs, researchers have sought to simplify 3D animation models using techniques such as Deformation Sensitive Decimation and Feature Edge Quadric. The studies conducted have examined the problems in the homogeneity of the local coordinate system between different expression models and in the retainment of simplified model characteristics. This paper proposes a method that applies Homogeneous Coordinate Transformation Matrix to solve the problem of homogeneity of the local coordinate system and Maximum Shape Operator to detect shape changes in facial animation so as to properly preserve the features of facial expressions. Further, root mean square error and perceived quality error are used to compare the errors generated by different simplification methods in experiments. Experimental results show that, compared with Deformation Sensitive Decimation and Feature Edge Quadric, our method can not only reduce the errors caused by simplification of facial animation, but also retain more facial features.

show abstract