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作 者:热孜万古丽.夏米西丁 耿国华[1] 古丽松.那斯尔丁 邓擎琼[3] 迪丽努尔.克依木 祖丽皮亚.买买提明 赵万荣 郑磊
机构地区:[1]西北大学信息科学与技术学院,西安710069 [2]新疆师范大学计算机科学技术学院,乌鲁木齐830054 [3]北京师范大学信息科学与技术学院,北京100875 [4]托克逊县人民医院放射科,新疆吐鲁番838100
出 处:《系统仿真学报》2016年第10期2335-2341,共7页Journal of System Simulation
基 金:国家自然科学基金(61363065;61262065);北京市自然科学基金(4152028)
摘 要:针对刑侦及考古中的遗骨经常存在缺损的问题,提出一种基于多样例的三维颅骨缺失修补方法。构建三维颅骨样本库,并通过配准算法对所有样本进行规格化处理;利用同样的配准算法根据待修补颅骨的缺失情况把样本库中的每个样本对应地分为存留和缺失两部分数据;通过回归算法获得两部分数据之间的函数关系;利用该函数关系计算待修补颅骨的缺失数据,并通过拼接融合得到最终的结果。实验结果表明,该方法能有效修补大、小缺失,同时保留原模型的所有特征;此外,避免了现有基于样例方法带个性特征的缺陷,修补误差更小。In order to repair the damaged skulls, a skull completion method based on multiple exemplars was proposed. A 3D skull model database was constructed, and all the exemplars within the database were registered with a standard skull model. Each exemplar was then divided into a missing part and a remaining part according to the given damaged skull After that, the relationship between the missing part and the remaining part was obtained by a regression algorithm. This relationship was used to calculate the missing part of the given skull and a complete skull could be obtained by merging the two parts. Experimental results demonstrate that the proposed method can repair small and large damages well while keep the original model unchanged. In addition, it can improve the completion accuracy compared with the existing example-based methods.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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