In this paper, a facial feature extracting method is proposed to transform three-dimension （3D） head images of infants with deformational plagiocephaly for assessment of asymmetry. The features of 3D point clouds of...In this paper, a facial feature extracting method is proposed to transform three-dimension （3D） head images of infants with deformational plagiocephaly for assessment of asymmetry. The features of 3D point clouds of an infant＇s cranium can be identified by local feature analysis and a two-phase k-means classification algorithm. The 3D images of infants with asymmetric cranium can then be aligned to the same pose. The mirrored head model obtained from the symmetry plane is compared with the original model for the measurement of asymmetry. Numerical data of the cranial volume can be reviewed by a pediatrician to adjust the treatment plan. The system can also be used to demonstrate the treatment progress.展开更多
文摘In this paper, a facial feature extracting method is proposed to transform three-dimension （3D） head images of infants with deformational plagiocephaly for assessment of asymmetry. The features of 3D point clouds of an infant＇s cranium can be identified by local feature analysis and a two-phase k-means classification algorithm. The 3D images of infants with asymmetric cranium can then be aligned to the same pose. The mirrored head model obtained from the symmetry plane is compared with the original model for the measurement of asymmetry. Numerical data of the cranial volume can be reviewed by a pediatrician to adjust the treatment plan. The system can also be used to demonstrate the treatment progress.
