A Study on Facial Modeling Based on the GFFD Method

Kitajima, Katsuhiro; Akagi, Yasuhiro; Yamauchi, Akira; Okazawa, Naoki; Higuchi, Yasukazu

doi:10.2493/jjspe.74.883

Cited by 4 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If we use conventional FFD methods, we have to put them on the vertices of grids, but then we cannot anticipate the shape of deformed object beforehand. Therefore, we use our GFFD [2,3] (Generalized Free-Form Deformation) method as the basic technique when we deform the generic model. The merits of GFFD are as follows:…”

Section: A Methods Of Deforming Spacementioning

confidence: 99%

“…The outline of the whole procedures is as follows: (1) To take three pictures of an individual's nail. (2) To extract operation points of a nail in each image with image processing, which is arranged on the outline and the surface of the nail. (3) To obtain 3D positions of the operation points using a stereo computing method.…”

Section: Evaluation Of Errorsmentioning

confidence: 99%

“…In such a business model, we have to realize the following things: (1) to measure an individual nail shape and generate its polygon model rapidly and in lowcost. (2) to generate the nail chip shape model which fits the obtained individual nail shape model, and (3) to make the real nail chip using the UV manufacturing machine.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Study on a method of restoring the 3D virtual nail model from the 2D image data based on the GFFD deformation method

Kondo

Tuoya

Kitajima

2011

2011 IEEE International Conference on Mechatronics and Automation

Self Cite

View full text Add to dashboard Cite

This paper proposes a novel method of generating a 3D virtual nail model from multiple camera image data based on the GFFD deformation method. 3D virtual nail models for individuals can be generated easily and rapidly with considerably low cost. The outline of the whole procedures is as follows. First, we take three pictures of an individual's nail. Second, we extract operation points of the nail in each image, which is arranged on the outline and surface of the nail. Third, we obtain the corresponding 3D positions of the operation points using a stereo computing method. Finally, we deform the 3D generic virtual nail model into an individual's one with GFFD based on the obtained 3D positions of the operation points. We made some experiments to evaluate whether the errors of the restored nail shape model is within the acceptable error range. By comparing the restored nail model with the model obtained by scanning the nail with a 3D digitizer, we evaluated the accuracy of the restored model. The result of the experiment shows that we can get individual nail models with sufficient accuracy.

show abstract

Section: A Methods Of Deforming Spacementioning

confidence: 99%

Section: Evaluation Of Errorsmentioning

confidence: 99%

See 1 more Smart Citation

Study on a method of restoring the 3D virtual nail model from the 2D image data based on the GFFD deformation method

Kondo

Tuoya

Kitajima

2011

2011 IEEE International Conference on Mechatronics and Automation

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is time-consuming to generate a whole new polygon face model every time when an individual face is measured. Therefore, we use a generic model and deform it into an individuals' face model by using our GFFD (Generalized Free-Form Deformation) method [10], [11], as shown in Fig. 1.…”

Section: Facial Expression Muscle Model For Speech Simulation Witmentioning

confidence: 99%

A method of simulating the fusion of speech and facial expression for individuals based on the GFFD method

Shen

Kitajima

2011

2011 IEEE International Conference on Mechatronics and Automation

Self Cite

View full text Add to dashboard Cite

This paper proposes a novel method of simulating the combination of speech and facial expression with anatomical basis, which can cope with any individual faces without any expensive measuring machines. In our previous paper, we presented a method of modeling muscle models around the mouth, especially the orbicularis oris model and the ones supporting it, which play important roles to decide the movement of skin around the mouth when we speak. The facial muscle models are represented as wire-frame models and their vertices play an important role when we treat them as operation points when applying our GFFD (Generalized Free Form Deformation) method. We experimentally decided the position of operation points of those muscle models when we utter the vowel /a/, /i/, /u/, /e/, /o/ and /n/ and consonants on the generic model. In this paper, we first report the improvement on the above method by considering jaw rotation, etc. Then, we present a new method to represent the fusion of the skin motions caused by both speech and facial expression. Some examples will finally be shown.

show abstract

Individualization of Musculoskeletal Model for Analyzing Pelvic Floor Muscles Activity Based on Gait Motion Features

Wakaiki

Tanaka

Shimatani

et al. 2018

JRM

View full text Add to dashboard Cite

Stress urinary incontinence (SUI) is a typical quality of life disease in women. The strengthening of the pelvic floor muscle (PFM) is considered effective to prevent this. Specifically, PFM activity is affected by individual pelvic shape and posture. Therefore, it is necessary to analyze muscle activity by considering the individual differences. In this study, individual pelvic alignment was estimated from the feature values of natural gait via multiple regression analysis. In addition, individual pelvic feature points were derived from X-ray images and used to deform the standard model to obtain individual pelvic shapes. Results indicate that the residual averages of the estimated feature angles were less than 2° in most cases. Subsequently, measurements of the pelvis were obtained via MRI to evaluate the estimated pelvis shape. The results indicate that individual adaptation leads to muscle attachment positions, which are important in the muscle activity analysis, and closer to the true MRI value when compared to that of the standard pelvic model.

show abstract

A Study on Facial Modeling Based on the GFFD Method

Cited by 4 publications

References 14 publications

Study on a method of restoring the 3D virtual nail model from the 2D image data based on the GFFD deformation method

Study on a method of restoring the 3D virtual nail model from the 2D image data based on the GFFD deformation method

A method of simulating the fusion of speech and facial expression for individuals based on the GFFD method

Individualization of Musculoskeletal Model for Analyzing Pelvic Floor Muscles Activity Based on Gait Motion Features

Contact Info

Product

Resources

About