DocumentCode
532214
Title
An improved algorithm for craniofacial reconstruction based on landmarks registration
Author
Shui, Wuyang ; Zhou, Mingquan ; Wu, Zhongke ; Deng, Qingqiong
Author_Institution
Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing, China
Volume
5
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Craniofacial reconstruction is aiming at estimating and recovering the appearance of an unknown or unidentified skull, which is very useful in forensic detection. Traditional approach is tedious and subject, because experts stick the clay or plastic on the unidentified skull according to experience. So here we proposed a computer aided approach to reconstruct the outlook. Firstly, the 3D skull model is digitized through 3D laser scanner and the noise of the model is eliminated based on bilateral denoise. Secondly, an efficient landmark marking algorithm is proposed, meanwhile in order to make sure the accuracy of the landmarks, we can adjust the position of landmarks. Meanwhile an efficient approach of finding correspondence points is proposed, the preciseness of the landmarks will influence the final result. Finally, Thin-Plate spline (TPS) is adopted to achieve non-rigid registration between the unidentified skull and reference skull. Using the warps transformation from the reference skull to unidentified skull, the appearance of the unidentified skull can be estimated. The feasibility and usability of the algorithm are confirmed through related experiment.
Keywords
image reconstruction; image registration; 3D laser scanner; 3D skull model; bilateral denoise; craniofacial reconstruction; forensic detection; landmark marking algorithm; landmark registration; nonrigid registration; reference skull; thin-plate spline; warps transformation; Forensics; TPS registration; correspondence points; landmarks marking; mesh denoise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620153
Filename
5620153
Link To Document