Abstract
In a 3D dense point clouds model, virtual tour without assistance is a complex and difficult task discouraging users from doing so. The aim of this work is to achieve a virtual navigation support tool. It will help users to perform virtual tour to explore the 3D model. In particular, the tool will allow to guide the camera automatically. We assume that the user is attracted by rich information areas in the model. This important assumption will be modelled by entropy. Secondly, in order to achieve a realistic automatic navigation we must avoid obstacles, ensure a relevant camera orientation during its motion and regulate the visual movement in the produced image. In this paper, we propose a solution to this problem based on a hierarchical algorithm, which combines the main task to be achieved and the realistic constraints. We validate the system on different complex 3D models: lab, urban environment and a cathedral.
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References
Andújar, C., Vázquez, P., Fairén, M.: Way-finder: guided tours through complex walkthrough models. Comput. Graph. Forum 23, 499–508 (2004). Wiley Online Library
William, B., Scott, M.D., Christina, B., Somying, T.: Virtual 3D camera composition from frame constraints. in: Proceedings of the Eighth ACM International Conference on Multimedia, pp. 177–186. ACM (2000)
Bares, W.H., Zettlemoyer, L.S., Rodriguez, D.W., Lester, J.C.: Task-sensitive cinematography interfaces for interactive 3D learning environments. In: Proceedings of the 3rd International Conference on Intelligent User Interfaces, pp. 81–88. ACM (1998)
Srikanth, B., Daniel, T.: Space discretization for efficient human navigation. Comput. Graph. Forum 17(3), 195–206 (1998). Wiley Online Library
Beckhaus, S., Ritter, F., Strothotte, T.: Cubicalpath-dynamic potential fields for guided exploration in virtual environments. In: Proceedings in the Eighth Pacific Conference on Computer Graphics and Applications, pp. 387–459. IEEE (2000)
Owen, B., Abdul, S., Scott, G.: A constraint-based autonomous 3d camera system. Constraints 13(1–2), 180–205 (2008). Springer
Christie, M., Machap, R., Normand, J.-M., Olivier, P., Pickering, J.H.: Virtual camera planning: a survey. In: Butz, A., Fisher, B., Krüger, A., Olivier, P. (eds.) SG 2005. LNCS, vol. 3638, pp. 40–52. Springer, Heidelberg (2005)
Courty, N., Marchand, E.: Computer animation: a new application for image-based visual servoing. In: Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation, vol. 1, pp. 223–228. IEEE (2001)
Amaury, D., Marchand, E.: Entropy-based visual servoing. In: IEEE International Conference Robotics and Automation ICRA 2009, pp. 707–713 (2009)
Feddema, J.T., Mitchell, O.R.: Vision-guided servoing with feature-based trajectory generation for robot. IEEE Trans. Robot. Autom. 5(5), 691–700 (1989)
Stefan, G.: Maximum entropy light source placement. In: Visualization VIS. IEEE (2002)
Hager, G.D.: A modular system for robust positioning using feedback from stereo vision. IEEE Trans. Robot. Autom. 13(4), 582–595 (1997)
Nicolas, H., Ralf, H., Thomas, S.: A camera engine for computer games: managing the trade-off between constraint satisfaction and frame coherence. Comput. Graph. Forum 20(3), 174–183 (2001). Wiley Online Library
Fabrice, L.: Topoplan: a topological path planner for real time human navigation under floor and ceiling constraints. Comput. Graph. Forum 28(2), 649–658 (2009). Wiley Online Library
Jean-Thierry, L., Youcef, M.: A Hessian approach to visual servoing. IEEE Intell. Robot. Syst. IROS 1, 998–1003 (2004)
Li, T.-Y., Cheng, C.-C.: Real-time camera planning for navigation in virtual environments. In: Butz, A., Fisher, B., Krüger, A., Olivier, P., Christie, M. (eds.) SG 2008. LNCS, vol. 5166, pp. 118–129. Springer, Heidelberg (2008)
Frederik, M., Andre, C., Dirk, V., Guy, M., Paul, S.: Multimodality image registration by maximization of mutual information. IEEE Trans. Med. Imaging 16(2), 187–198 (1997)
Marchand, E., Hager, G.D.: Dynamic sensor planning in visual servoing. In: Proceedings International Conference on Robotics and Automation, vol. 3, pp. 1988–1993. IEEE (1998)
Salomon, B., Garber, M., Lin M.C., Manocha, D.: Interactive navigation in complex environments using path planning. In: Proceedings of the 2003 Symposium on Interactive 3D Graphics, pp. 41–50. ACM (2003)
Ekrem, S., Adali, H.: Serdar Balcisoy Selim: automatic path generation for terrain navigation. Comput. Graph. 36(8), 1013–1024 (2012). Elsevier
Bill, T., Bruce, B., Delphine, N.: Expressive autonomous cinematography for interactive virtual environments. In: Proceedings of the Fourth International Conference on Autonomous Agents, pp. 317–324. ACM (2000)
Vázquez, P.-P., Feixas, M., Sbert, M., Heidrich, W.: Viewpoint selection using viewpoint entropy. VMV 1, 273–280 (2001)
Yeh, I., Lin, C.-H., Chien, H.-J., Lee, T.-Y.: Efficient camera path planning algorithm for human motion overview. Comput. Animat. Virtual Worlds 22(2–3), 239–250 (2011). Wiley Online Library
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Habibi, Z., Caron, G., Mouaddib, E.M. (2015). 3D Model Automatic Exploration: Smooth and Intelligent Virtual Camera Control. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9009. Springer, Cham. https://doi.org/10.1007/978-3-319-16631-5_45
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DOI: https://doi.org/10.1007/978-3-319-16631-5_45
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