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Measuring 3D face deformations from RGB images of expression rehabilitation exercises

Virtual Reality & Intelligent Hardware 2022年第4期4卷 306-323页

作者： Claudio FERRARI Stefano BERRETTI Pietro PALA alberto del bimbo Department of Engineering and Architecture University of ParmaParma 43124Italy Department of Information Engineering University of FlorenceFlorence 50139Italy

Background The accurate(quantitative)analysis of 3D face deformation is a problem of increasing interest in many *** particular,defining a 3D model of the face deformation into a 2D target image to capture local and asymmetric deformations remains a challenge in existing literature.A measure of such local deformations may be a relevant index for monitoring the rehabilitation exercises of patients suffering from Par-kinson’s or Alzheimer’s disease or those recovering from a *** In this paper,a complete framework that allows the construction of a 3D morphable shape model(3DMM)of the face is presented for fitting to a target RGB *** model has the specific characteristic of being based on localized components of *** fitting transformation is performed from 3D to 2D and guided by the correspondence between landmarks detected in the target image and those manually annotated on the average *** fitting also has the distinction of being performed in two steps to disentangle face deformations related to the identity of the target subject from those induced by facial *** The method was experimentally validated using the MICC-3D dataset,which includes 11 *** subject was imaged in one neutral pose and while performing 18 facial actions that deform the face in localized and asymmetric *** each acquisition,3DMM was fit to an RGB frame whereby,from the apex facial action and the neutral frame,the extent of the deformation was *** results indicate that the proposed approach can accurately capture face deformation,even localized and asymmetric *** The proposed framework demonstrated that it is possible to measure deformations of a reconstructed 3D face model to monitor facial actions performed in response to a set of ***,these results were obtained using only RGB targets,without the need for 3D scans captured with costly *** paves the way for the use of the

关键词： 3D morphable face model Sparse and locally coherent 3DMM components Local and asymmetric Face deformations Face rehabilitation Face deformation measure

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