3D Human Scanning Solution for Medical Measurements

Abstract : Today anthropometry can be performed with three-dimensional scanners. Our aim is to establish a low-cost, easy-to-use hardware and software solution, which is capable to do automatic, computer-based anthropometry and medical measurements for health care. We have designed and build a large, remote controlled turntable and a 3D scanner application, which can be used to digitalize 0.2-2,6 m tall real world objects into 3D models. With the turntable a 360° field of view can be reached even when using completely stationary, static sensors. Our software uses RGBD sensors for data acquisition, however it can be combined with other image sensors. With our solution prosthesis design can be more accurate and simplified, and we can provide for 3D modelers an efficient, real time method to scan and visualize human scale 3D objects. The scanned models can easily be used for rapid prototyping and 3D printing. The models can be exported into the most popular 3D modeling file formats for further analysis. Our solution decreases significantly the time, effort and cost of the clean up process of the 3D scanning. In this paper we provide information about our 3D scanning solution’s design, and implementation, and we also describe its accuracy. The realized hardware and software solution provides a cheap and sufficiently reliable method to gather real time 3D depth and RGB data from human size objects for 3D reconstruction.
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Communication dans un congrès
Luis M. Camarinha-Matos; Thais A. Baldissera; Giovanni Di Orio; Francisco Marques. 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-450, pp.225-230, 2015, Technological Innovation for Cloud-Based Engineering Systems. 〈10.1007/978-3-319-16766-4_24〉
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Balázs Sütő, Zsolt Könnyű, Zsolt Tölgyesi, Tibor Skala, Imre Rudas, et al.. 3D Human Scanning Solution for Medical Measurements. Luis M. Camarinha-Matos; Thais A. Baldissera; Giovanni Di Orio; Francisco Marques. 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-450, pp.225-230, 2015, Technological Innovation for Cloud-Based Engineering Systems. 〈10.1007/978-3-319-16766-4_24〉. 〈hal-01343486〉

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