Abstract
As the artificial burn area assessment causes high error and traditional three-dimensional scanning system is of high cost, and the operation is complex, this chapter presents a three-dimensional color reconstruction of human body scanning from a Kinect. The system combines open-source OpenNI to firstly obtain color information, color calibration information, and the depth. Then two-dimensional color space information overlay technology is adopted to get 3D point cloud data with color information. With KinectFusion registration algorithm, the surface can be reconstructed from the point cloud data as obtained. The Poisson optimization algorithm is introduced to patch voids so as to make the model smooth and fine. Experiments in this chapter show that the proposed method can be used to reconstruct 3D color body model with the Kinect in a fast and accurate manner, and this will be of great value in the clinical evaluation.
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Yao, L., Dong, G., Hu, G. (2015). Kinect-Based 3D Color Reconstruction. In: Wong, W. (eds) Proceedings of the 4th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-11104-9_61
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DOI: https://doi.org/10.1007/978-3-319-11104-9_61
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