A Plastic-Visco-Elastic Model for Wrinkles in Facial Animation and Skin Aging

Wu, Yung-Hsien; Thalmann, Nadia Magnenat; Thalmann, Daniel

doi:10.1142/9789814503860_0013

Cited by 61 publications

(48 citation statements)

References 12 publications

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“…The construction of 3D wrinkles has also been reported in the literature [13], [14]. However, wrinkles and skin deformation is actually not predominant in young people [2].…”

Section: Related Workmentioning

confidence: 94%

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Individualised model of facial age synthesis based on constrained regression

Bukar

Ugail

Connah

2015

2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)

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-Faces convey much information. Interestingly we humans have a remarkable ability of identifying, extracting, and interpreting this information. Recently automatic facial ageing (AFA) has gained popularity due to its numerous applications which include search for missing people, biometrics, and multimedia. The problem of AFA is faced with various challenges, including incomplete training datasets, unrestrained environments, ethnic and gender variations to mention but a few. This work presents a new approach to automatic facial ageing which involves the development of a person specific facial ageing system. A color based Active Appearance Model (AAM) is used to extract facial features. Then, regression is used to model an age estimator. Age synthesis is achieved by computing a solution that minimises the distance from the original face with the use of constrained regression. The model is tested on a challenging database of single image per person. Initial results suggest that plausible images can be rerendered at different ages, automatically using the AAM representation. Using the constrained regressor we are guaranteed to get estimated ages that are exact for an individual at a given age.

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“…The construction of 3D wrinkles has also been reported in the literature [13], [14]. However, wrinkles and skin deformation is actually not predominant in young people [2].…”

Section: Related Workmentioning

confidence: 94%

“…A person specific model is obtained by forcing (14) to pass through the appearance parameter c i of a particular individual by using a linear constraint expressed as,…”

Section: Ageing Functionmentioning

confidence: 99%

Individualised model of facial age synthesis based on constrained regression

Bukar

Ugail

Connah

2015

2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)

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“…The observation of details, such as expressive wrinkles, signs of aging, and conversational signals in the speech, are important information in understanding how the faces ages. Also wrinkles 12,15,[17][18] are important for understanding and interpreting facial aging. In this paper we focus on the simulation of face appearance concentrating on facial rejuvenation.…”

Section: Introductionmentioning

confidence: 99%

Toward anthropometrics simulation of face rejuvenation and skin cosmetic

Bastanfard

Bastanfard²,

Takahashi³

et al. 2004

Computer Animation & Virtual

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Facial rejuvenation is the process of reversing the aging effects on the human face digitally. This paper generalizes a new approach for facial rejuvenation in adults image. Applications of facial rejuvenation are widespread. They include face recognition, education, entertainment, telecommunications, Psychology, criminal objects, Cosmetic arts and it can be used as an aid for medical cosmetics surgery and the reconstruction of the face. This paper proposes a novel facial rejuvenation modeling algorithm with two techniques. These techniques discuss the facial deformation based on the face anthropometrics theory and remove wrinkles based on what we called wrinkles inpainting. For example if we have been given a few different faces, we need to be able to compare the difference between the facial characteristics of the youth and the aged, then from there onwards, define a set of outlines which are going to be the basis of the simulation of Face Rejuvenation. The first is the geometric deformation details like skin texture, which differs between the aged and the youth. The second is anthropometrics data change. It was developed in the face anthropometrics measurement theory. Then together with warping technique we map the characteristics to any other particular persons' face in order to generate more expressive and convincing facial rejuvenation. The original contribution and advantage of this paper are that, the proposed methods are simple to implement, reliable, in which they required only one source image without needing to collect a lot of images and their computation are fast for interactive environment.

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“…Simulating volumetric deformations with three-dimensional lattices, however, requires extensive computation. A simplified mesh system reduces the computation time while still maintaining similar quality [40].…”

Section: Layered Spring Mesh Musclesmentioning

confidence: 99%

Computer Facial Animation: A Survey

Deng¹,

Noh²

Data-Driven 3D Facial Animation

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A Plastic-Visco-Elastic Model for Wrinkles in Facial Animation and Skin Aging

Cited by 61 publications

References 12 publications

Individualised model of facial age synthesis based on constrained regression

Individualised model of facial age synthesis based on constrained regression

Toward anthropometrics simulation of face rejuvenation and skin cosmetic

Computer Facial Animation: A Survey

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