Abstract
In the context of three-dimensional acquisition and elaboration, it is essential to maintain a balanced approach between model accuracy and required resources. As a possible solution to this problem, the present paper proposes a method to obtain accurate and lightweight meshes of a real environment using the Microsoft® HoloLens™ as a device for point clouds acquisition. Firstly, we describe an empirical procedure to improve 3D models, with the use of optimal parameters found by means of a genetic algorithm. Then, a systematic review of the indexes for evaluating the quality of meshes is developed, in order to quantify and compare the goodness of the obtained outputs. Finally, in order to check the quality of the proposed approach, a reconstructed model is tested in a virtual scenario implemented in Unity® 3D Game Engine.
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References
de Tommaso, M., Ricci, K., Delussi, M., Montemurno, A., Vecchio, E., Brunetti, A., Bevilacqua, V.: Testing a novel method for improving wayfinding by means of a p3b virtual reality visual paradigm in normal aging. Springerplus 5(1), 1297 (2016)
Bevilacqua, V., Trotta, G.F., Brunetti, A., Buonamassa, G., Bruni, M., Delfine, G., Riezzo, M., Amodio, M., Bellantuono, G., Magaletti, D., Verrino, L., Guerriero, A.: Photogrammetric meshes and 3d points cloud reconstruction: a genetic algorithm optimization procedure. In: Rossi, F., Piotto, S., Concilio, S. (eds.) Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, pp. 65–76. Springer International Publishing, Berlin (2017)
Voulodimos, A., Doulamis, N., Fritsch, D., Makantasis, K., Doulamis, A., Klein, M.: Four-dimensional reconstruction of cultural heritage sites based on photogrammetry and clustering. J. Electron. Imaging 26(1), 011013 (2016)
Zhang, H.: Head-mounted display-based intuitive virtual reality training system for the mining industry. Int. J. Mining Sci. Technol. 27(4), 717–722 (2017)
Uva, A.E., Fiorentino, M., Gattullo, M., Colaprico, M., de Ruvo, M.F., Marino, F., Trotta, G.F., Manghisi, V.M., Boccaccio, A., Bevilacqua, V., Monno, G.: Design of a projective ar workbench for manual working stations. In: De Paolis, L.T., Mongelli, A. (eds.) Augmented Reality, Virtual Reality, and Computer Graphics, pp. 358–367. Springer International Publishing, Berlin (2016)
Bevilacqua, V., Mastronardi, G., Menolascina, F., Pannarale, P., Pedone, A.: A novel multi-objective genetic algorithm approach to artificial neural network topology optimisation: the breast cancer classification problem. In: The 2006 IEEE International Joint Conference on Neural Network Proceedings, pp. 1958–1965. IEEE (2006)
Bevilacqua, V., Ivona, F., Cafarchia, D., Marino, F.: An evolutionary optimization method for parameter search in 3d points cloud reconstruction. In: Huang, D.-S., Bevilacqua, V., Figueroa, J.C., Premaratne, P. (eds.) Intelligent Computing Theories, pp. 601–611. Springer, Berlin (2013)
Aspert, N., Santa-Cruz, D., Ebrahimi, T.: Mesh: Measuring errors between surfaces using the hausdorff distance. In: 2002 IEEE International Conference on Multimedia and Expo (ICME’02), vol. 1, pp. 705–708. IEEE (2002)
Garon, M., Boulet, P.-O., Doironz, J.-P., Beaulieu, L., Lalonde, J.-F.: Real-time high resolution 3d data on the hololens. In: 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), pp. 189–191. IEEE (2016)
Cignoni, P., Callieri, M., Corsini, M., Dellepiane, M., Ganovelli, F., Ranzuglia, G.: Meshlab: an open-source mesh processing tool. In: Eurographics Italian Chapter Conference, pp. 129–136 (2008)
Luebke, D.P.: A developer’s survey of polygonal simplification algorithms. IEEE Comput. Graph. Appl. 21(3), 24–35 (2001)
Kazhdan, M., Hoppe, H.: Screened poisson surface reconstruction. ACM Trans. Graph. (TOG) 32(3), 29 (2013)
Cignoni, P., Rocchini, C., Scopigno, R.: Metro: measuring error on simplified surfaces. In: Computer Graphics Forum, vol. 17, pp. 167–174. Blackwell Publishers (1998)
Dyn, N., Levine, D., Gregory, J.A.: A butterfly subdivision scheme for surface interpolation with tension control. ACM Trans. Graph. 9(2), 160–169 (1990). April
Argelaguet, F., Andujar, C.: A survey of 3d object selection techniques for virtual environments. Comput. Graph. 37(3), 121–136 (2013)
Vollmer, J., Mencl, R., Muller, H.: Improved laplacian smoothing of noisy surface meshes. Comput. Graph. Forum (1999)
OptiStruct User’s Guide Hyperworks. 13.0. User Manual, Altair Engineering Inc., Troy MI (2014)
Paul Chew, L.: Guaranteed-quality triangular meshes. Technical report, Cornell University (1989)
Heckbert, P.S., Garland, M.: Survey of polygonal surface simplification algorithms. Technical report, Carnegie-Mellon Univ Pittsburgh PA School of Computer Science (1997)
Tarini, M., Pietroni, N., Cignoni, P., Panozzo, D., Puppo, E.: Practical quad mesh simplification. Comput. Graphics Forum 29(2), 200 (Special Issue of Eurographics 2010 Conference)
Cui, X., Shi, H.: An overview of pathfinding in navigation mesh. IJCSNS 12(12), 48–51 (2012)
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Trotta, G.F., Mazzola, S., Gelardi, G., Brunetti, A., Marino, N., Bevilacqua, V. (2020). Reconstruction, Optimization and Quality Check of Microsoft HoloLens-Acquired 3D Point Clouds. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Neural Approaches to Dynamics of Signal Exchanges. Smart Innovation, Systems and Technologies, vol 151. Springer, Singapore. https://doi.org/10.1007/978-981-13-8950-4_9
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DOI: https://doi.org/10.1007/978-981-13-8950-4_9
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