Experimental results of 2D depth-depth matching algorithm based on depth camera Kinect v1

Abstract

In the last year, we proposed a smart transcription algorithm. In the algorithm, a real liver is always captured by 3D depth camera. As contrasted with this, its virtual liver is represented by a polyhedron with STL (Standard Triangulated Language) format (Stereo-lithography) via DICOM (Digital Imaging and Communication in Medicine) data captured by MRI… (More)

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Cite this paper

@article{Noborio2015ExperimentalRO, title={Experimental results of 2D depth-depth matching algorithm based on depth camera Kinect v1}, author={Hiroshi Noborio and Kaoru Watanabe and Masahiro Yagi and Yasuhiro Ida and Shigeki Nankaku Katsuhiko Onishi and Masanao Koeda and Masanori Kon and Kousuke Matsui and Masaki Kaibori}, journal={2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)}, year={2015}, pages={284-289} }