Please use this identifier to cite or link to this item: https://doi.org/10.1117/12.237943
Title: Volume morphing methods for landmark based 3D image deformation
Authors: Fang, S. 
Raghavan, R. 
Richtsmeier, J.T.
Keywords: 3D morphing
Landmark
Scattered data interpolation
Shape deformation
Issue Date: 1996
Citation: Fang, S., Raghavan, R., Richtsmeier, J.T. (1996). Volume morphing methods for landmark based 3D image deformation. Proceedings of SPIE - The International Society for Optical Engineering 2710 : 404-415. ScholarBank@NUS Repository. https://doi.org/10.1117/12.237943
Abstract: Volume morphing is a technique used for generating smooth 3D image transformations and deformations. In this paper, several algorithms are developed for morphing transformations that create new forms and simulate shape deformation and growth in biomedical applications. 3D biological point landmarks and their movements are defined to guide the morphing transformation using a scattered data interpolation algorithm. Two types of morphing algorithms, the Shepard-based interpolation and the radial basis function approach, are investigated in detail and applied for volume morphing in growth predictions of children and shape transformations between species.
Source Title: Proceedings of SPIE - The International Society for Optical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/111293
ISSN: 0277786X
DOI: 10.1117/12.237943
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