Interactive Face Generation from Verbal Description Using Conceptual Fuzzy Sets

Benhidour, Hafida; Onisawa, Takehisa

doi:10.4304/jmm.3.2.52-59

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…In this case, cobbling the face together using matching pre-drawn parts produces more authenticlooking results than direct photograph-warping plus a filter. Early examples do not necessarily use a photograph as a basis; Iwashita et al [10], use linguistic descriptors instead in their 1999 paper, and a common collaborator Onisawa continues this work in later research on fuzzy systems [21,1].…”

Section: Portrait Synthesismentioning

confidence: 99%

Morphable guidelines for the human head

Gao

Werner

Gooch

2013

Proceedings of the Symposium on Computational Aesthetics

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Morphable guidelines are a 3D structure that helps users achieve better face warping on 2D portrait images. Faces can be di cult to warp accurately because the rotation of the head a↵ects the shape of the facial features. I bypass the problem by utilizing the popular Loomis 'ball and plane' head drawing guideline as a proxy structure. The resulting 'morphable guidelines' consist of a simple 3D head model that can be reshaped by the user and aligned to their input image. The vertices of the model go on to act as deformation points for a 2D image deformation algorithm. Thus, the user can seamlessly transform the face proportions in the 2D image by transforming the proportions of the morphable guidelines. This system can be used for both retouching and caricature warping purposes, as it is well-suited for both subtle and extreme modifications. This system is advantageous over previous work in face warping because our morphable guidelines can be used on a wide range of head orientations and do not require the generation of a full 3D model.

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Section: Portrait Synthesismentioning

confidence: 99%

Morphable guidelines for the human head

Gao

Werner

Gooch

2013

Proceedings of the Symposium on Computational Aesthetics

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“…Finally, the linguistic descriptors were measured by using experts' votes in [21]. Other approaches based on linguistic descriptors expressed in terms of fuzzy sets, fuzzy geometries, granular computing, and others were described in [22][23][24][25][26][27][28]. A comprehensive survey of methods utilizing the linguistic descriptors in face recognition can be found in [29].…”

Section: Introductionmentioning

confidence: 99%

Linguistic Descriptors in Face Recognition

Karczmarek

Kiersztyn

Pedrycz

et al. 2018

Int. J. Fuzzy Syst.

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In this study, we propose linguistic descriptorsbased approach to the problem of face identification realized by both humans and computers. This approach is motivated by an evident observation that linguistic descriptors offer an ability to formalize and exploit important pieces of knowledge describing human's face. These entities are used by people in face recognition and could be found of importance in building machine-oriented recognition schemes. Moreover, evident humans' abilities to recognize other individuals can be incorporated into computational face recognition problems as an invaluable vehicle improving recognition rate of machine-oriented classifiers. Specifically, we propose an application of analytic hierarchy process to determine linguistic values of facial features. The experts' assessments of faces in terms of such attributes support coping with uncertainty captured through experts' decisions result in a set of useful assuring the desired property of inter-class similarities and betweenclass differences among faces. It is worth noting that the method presented in this study can be easily applied to any other classification problem with the presence of experts.

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“…Although radiation crosslinking is not as widely used as chemical crosslinking, it offers several significant advantages over chemical crosslinking such as: improved mechanical strength, resistance to chemicals and insulation properties, control of the degree of crosslinking with the radiation dose, etc. [10].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Influence of Radiation and Deformation on the Elastomer Deterioration by Using Fuzzy Logic

Bonato

Tomac

Tomas

2017

Brod

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SummaryElastomers belong to the group of polymer materials and they have an important role as technical material in the shipbuilding industry. The radiation crosslinking of elastomers shows significant advantages over chemical crosslinking. It can improve mechanical strength, resistance to chemicals and insulation properties of elastomers. An undesirable side reaction, which can occur during radiation, is the degradation process. This results in cracks breaking, chemical disintegration and reduction of mechanical properties of elastomers. In this paper fuzzy logic is used to estimate the influence of radiation and deformation on the behavior of elastomer samples. A Gaussian model is created according to both the experts' experience and the measuring data. The results of the model are calculated by using the Normalized Roth Mean Square Error (NRMSE) and the Roth Mean Square Error (RMSE). The so developed model gives new conceptions, which offer a possibility to improve the application of elastomer materials.

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Interactive Face Generation from Verbal Description Using Conceptual Fuzzy Sets

Cited by 9 publications

References 15 publications

Morphable guidelines for the human head

Morphable guidelines for the human head

Linguistic Descriptors in Face Recognition

Assessment of the Influence of Radiation and Deformation on the Elastomer Deterioration by Using Fuzzy Logic

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