Facial landmark localization by curvature maps and profile analysis
نویسندگان
چکیده
INTRODUCTION Three-dimensional landmarks of the face are important for orthodontic examination, harmony assessment and treatment planning. Currently, facial landmarks are often measured by orthodontists via direct observation and manual soft tissue image analysis. This study wants to evaluate and present an objective method for measuring selected facial landmarks based on an analysis of curvature maps and of sagittal profile obtained by a laser-scanning method. METHODS The faces of 15 people were scanned in 3D by means of the laser scanner FastSCAN™. It allowed the recording of a curvature map of the face in under a minute, which depicted the distribution of Gaussian and mean curvatures. The median-sagittal profile line of the face was localized in this map, and a mathematical analysis comprising its first and second derivatives was performed. Anatomical landmarks were identified and facial measurements performed. To assess validity the obtained data were compared with manual measurements by orthodontists by means of Lin's concordance correlation CCC coefficient and reliability was determined by consecutive measurements. RESULTS Facial landmarks, such as the soft tissue glabella and nasal tip, could be easily and accurately identified and located. Lin's CCC showed substantial agreement between digital and manual measurements for 4 of the 7 distances evaluated. Larger discrepancies were due to inadequate image quality and scanning errors. Reliability of consecutive measurements by the same operator was excellent. CONCLUSIONS In our pilot study the three-dimensional laser-scanning method FastSCAN™ allowed a reliable and accurate identification of anatomical landmarks of the face. The obtained distances between certain landmarks, such as the intercanthal distance, were largely consistent with those from manual measurements. Due to its easy and rapid implementation, the method facilitates facial analysis and could be a clinically valid alternative to manual measurements, when remaining problems in scanning accuracy can be resolved.
منابع مشابه
Effect of Facial Expressions on Feature-Based Landmark Localization in Static Grey Scale Images
The present aim was to examine the effect of facial expressions on the feature-based landmark localization in static grey scale images. In the method, local oriented edges were extracted and edge maps of the image were constructed at two levels of resolution. Regions of connected edges represented landmark candidates and were further verified by matching against the edge orientation model. The ...
متن کاملProcessing and analysis of 2.5D face models for non-rigid mapping based face recognition using differential geometry tools
This Ph.D thesis work is dedicated to 3D facial surface analysis, processing as well as to the newly proposed 3D face recognition modality, which is based on mapping techniques. Facial surface processing and analysis is one of the most important steps for 3D face recognition algorithms. Automatic anthropometric facial features localization also plays an important role for face localization, fac...
متن کاملAutomatic localization of facial landmarks from expressive images of high complexity
DEPARTMENTȱOFȱCOMPUTERȱSCIENCESȱ UNIVERSITYȱOFȱTAMPEREȱ ȱ DȬ2008Ȭ9ȱ ȱ TAMPEREȱ2008ȱ ȱ ȱ ȱ UNIVERSITYȱOFȱTAMPEREȱ DEPARTMENTȱOFȱCOMPUTERȱSCIENCESȱ SERIESȱOFȱPUBLICATIONSȱDȱ–ȱNETȱPUBLICATIONSȱ DȬ2008Ȭ9,ȱSEPTEMBERȱ2008ȱ YuliaȱGizatdinovaȱandȱVeikkoȱSurakkaȱ ȱȱ Automatic localization of facial landmarks from expressive images of high complexity ȱ ȱ ȱ ȱ ȱ ȱ ȱ DEPARTMENTȱOFȱCOMPUTERȱSCIENCESȱ FINȬ330...
متن کاملA Fast and Robust Method for the Identification of Face Landmarks in Profile Images
Several applications in Computer Vision, like recognition, identification, automatic 3D modeling and animation and non conventional human computer interaction require the precise identification of landmark points in facial images. Here we present a fast and robust algorithm capable of identifying a specific set of landmarks on face profile images. First, the face is automatically segmented from...
متن کاملConsensus of Regression for Occlusion-Robust Facial Feature Localization
We address the problem of robust facial feature localization in the presence of occlusions, which remains a lingering problem in facial analysis despite intensive long-term studies. Recently, regression-based approaches to localization have produced accurate results in many cases, yet are still subject to significant error when portions of the face are occluded. To overcome this weakness, we pr...
متن کامل