2011
DOI: 10.1002/cav.399
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Multi‐layer structural wound synthesis on 3D face

Abstract: In this paper, we propose multi-layer structural wound synthesis on a 3D face. The fundamental knowledge of the facial skin is derived from the structure of tissue, being composed of epidermis, dermis and subcutis. The approach first defines the facial tissue depth map to measure details at various locations on the face. Each layer of skin in a wound image has been determined by hue-based segmentation. In addition, we have employed disparity parameters to realise 3D depth in order to make a wound model volumet… Show more

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Cited by 6 publications
(11 citation statements)
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“…Hence, an MT task is required when multi-texturing. This method improves our previous MT [6] that is suitable only for surfaces composed of a set of regular mesh. The proposed method is applicable to both a regular and an irregular mesh surface on which the method can tag a face without producing holes.…”
Section: Introductionmentioning
confidence: 86%
See 1 more Smart Citation
“…Hence, an MT task is required when multi-texturing. This method improves our previous MT [6] that is suitable only for surfaces composed of a set of regular mesh. The proposed method is applicable to both a regular and an irregular mesh surface on which the method can tag a face without producing holes.…”
Section: Introductionmentioning
confidence: 86%
“…A procedural wound geometry generation technique is presented to allow interactive real-time operation [7]. Multi-layer based wound synthesis is generated using skin depth, such as epidermis, dermis, and sub-cutis [6]. For body parts with a rough and round shape, abrasion and burn patch synthesis models are explored [8].…”
Section: Introductionmentioning
confidence: 99%
“…A virtual talking character is a challenging task because it should provide control on all articulatory movements and must be synchronized with the speech signal ( [31]; Lee et al [21]; [33]; Taylor et al [38]; Leuski and Richmond [25]; Wei and Deng [43]). Lee et al [22] designed an expressive avatar of real human process for the Lifelike Responsive Avatar Framework (LRAF), which was implemented to analyze the efficiency of expressive avatars.…”
Section: Previous Studiesmentioning
confidence: 99%
“…The values of the parameters are significantly optimized by the use of the facial depth map [5] presented in Table 1.…”
Section: Subsurface Color Modelmentioning
confidence: 99%