Craniofacial researchers have used anthropometric measurements taken directly on the human face for research and medical practice for decades. With the advancements in 3D imaging technologies, computational methods have been developed for the diagnoses of craniofacial syndromes and the analysis of the human face. Using advanced computer vision and image analysis techniques, diagnosis and quantification of craniofacial syndromes can be improved and automated. This paper describes a craniofacial image analysis pipeline and introduces the computational methods developed by the Multimedia Group at the University of Washington including data acquisition and preprocessing, low- and mid-level features, quantification, classification, and content-based retrieval.
CITATION STYLE
Mercan, E., Atmosukarto, I., Wu, J., Liang, S., & Shapiro, L. G. (2015). Craniofacial image analysis. In Health Monitoring and Personalized Feedback using Multimedia Data (pp. 9–29). Springer International Publishing. https://doi.org/10.1007/978-3-319-17963-6_2
Mendeley helps you to discover research relevant for your work.