Craniofacial model data partition based on SVDD
Kang Li · Jisuanji yingyong yanjiu · 2012
This paper refered to switch the craniofacial model data partition into a classified pattern,and proposed a data partitioning method based on kernel methods supporting by vector data description.Experiment shows that this method can be faster and more precise to get the partitioned characteristics,and be applied to identify the complex contours and shapes of feature regions.