Abstract
Reconstruction of normal skulls from deformed skulls is a very important but difficult task in practice. Active shape model (ASM) is among the most popular methods for reconstructing skulls. To apply ASM to skull reconstruction, it is necessary to establish shape correspondence among the training and testing samples because wrong correspondence will introduce unwanted shape variations in ASM reconstruction. Despite the popularity of ASM, the accuracy of ASM skull reconstruction has not been well investigated in existing literature. In particular, it is unclear how to estimate the reconstruction error of skulls without ground truth. This paper aims to investigate the source of error of ASM skull reconstruction. Comprehensive tests show that the error of accurate correspondence algorithm is uncorrelated and small compared to reconstruction error. On the other hand, ASM fitting error is highly correlated to reconstruction error, which allows us to estimate the reconstruction error of real deformed skulls using ASM fitting error. Moreover, ASM fitting error is correlated to the severity of skull defects, which places a limit on the reconstruction accuracy that can be achieved by ASM.
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Zhang, K., Leow, W. ., Cheng, Y. (2015). Performance Analysis of Active Shape Reconstruction of Fractured, Incomplete Skulls. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9256. Springer, Cham. https://doi.org/10.1007/978-3-319-23192-1_26
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DOI: https://doi.org/10.1007/978-3-319-23192-1_26
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