Abstract
Three-dimensional reconstruction of wood carving based on CT tomography data is important. In this paper, we propose a novel 3D variational framework for this task, which includes two procedures. First, a fitting approach is applied to a sequence of wood carving images acquired by CT scanner. The regions of interest (ROIs) can be obtained for the second segmentation after fitting. Second, we utilise a 3D TV (total variation) L1 variational model to directly segment the 3D volume of the ROIs. In addition, the TV-L1 model can smooth the volume and gives a clear 3D volume rendering result. By introducing a dual auxiliary variable, the fast primal-dual method is developed to improve the computational efficiency of the 3D TV-L1 model. Extensive experimental results are conducted to demonstrate the performance of the proposed framework.
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Zhao, G., Deng, Z., Shen, J., Qiu, Z., Huang, J. (2017). Three-Dimensional Reconstruction of Wood Carving Cultural Relics Based on CT Tomography Data. In: Zou, B., Li, M., Wang, H., Song, X., Xie, W., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 727. Springer, Singapore. https://doi.org/10.1007/978-981-10-6385-5_39
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DOI: https://doi.org/10.1007/978-981-10-6385-5_39
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