2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2015
DOI: 10.1109/embc.2015.7318327
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Landmark detection from 3D mesh facial models for image-based analysis of dysmorphology

Abstract: Facial landmark detection is a task of interest for facial dysmorphology, an important factor in the diagnosis of genetic conditions. In this paper, we propose a framework for feature points detection from 3D face images. The method is based on 3D Constrained Local Model (CLM) which learns both global variations in the 3D facial scan and local changes around every vertex landmark. Compared to state of the art methods our framework is distinguished by the following novel aspects: 1) It operates on facial surfac… Show more

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Cited by 3 publications
(1 citation statement)
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“…Although many different approaches have been proposed to tackle the 3D face reconstruction problem, none of them provides a solution for 3D face reconstruction of babies. This application is especially relevant to enable medical diagnosis based on cranio-facial imaging data [16,24,25]. A challenge is that the facial geometry of babies is very different from that older children or adults.…”
Section: Introductionmentioning
confidence: 99%
“…Although many different approaches have been proposed to tackle the 3D face reconstruction problem, none of them provides a solution for 3D face reconstruction of babies. This application is especially relevant to enable medical diagnosis based on cranio-facial imaging data [16,24,25]. A challenge is that the facial geometry of babies is very different from that older children or adults.…”
Section: Introductionmentioning
confidence: 99%