AI Article Synopsis
- Recent studies have focused on 3D landmark extraction in medicine for both corrective and aesthetic facial procedures.
- This work introduces a new method for accurately locating facial landmarks using geometrical descriptors and statistical models.
- The proposed method is effective regardless of the face's pose, making it versatile for medical specialists.
Article Abstract
Recently, 3D landmark extraction has been widely researched and experimented in medical field, for both corrective and aesthetic purposes. Automation of these procedures on three-dimensional face renderings is something desirable for the specialists who work in this field. In this work we propose a new method for accurate landmark localization on facial scans. The method relies on geometrical descriptors, such as curvatures and Shape Index, for computing candidate and initial points, and on a statistical model based on Procrustes Analysis and Principal Component Analysis, which is fitted to candidate points, for extracting the final landmarks. The elaborated method is independent on face pose.
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| http://dx.doi.org/10.1016/j.cmpb.2012.07.008 | DOI Listing |
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