Skip to main content

2020 | OriginalPaper | Buchkapitel

Interacting with Real Objects in Virtual Worlds

verfasst von : Catherine Taylor, Darren Cosker

Erschienen in: Real VR – Immersive Digital Reality

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In a virtual reality (VR) experience, the manner in which a user interacts with the virtual environment and computer generated objects in the scene greatly effects the feeling of immersion. Traditionally, VR systems use controllers as a means of facilitating interaction, with a sequence of button presses corresponding to a particular action. However, controllers do not accurately model the intuitive way to interact with a real-world object and offer limited tactile feedback. Alternatively, a physical object can be tracked and used to regulate the behaviour of a virtual object. In this chapter, we review a range of approaches which use the tracked behaviour of a physical object to control elements of the virtual environment. These virtual props have the potential to be used as a more immersive alternative to the traditional controllers. We discuss how motion capture systems and external sensors can be used to track rigid and non-rigid objects, in order to drive the motion of computer generated 3D models. We then consider two neural network based tracking solutions and explain how these can be used for transporting real objects into virtual environments.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
3.
Zurück zum Zitat Chen, Y., Medioni, G.: Object modeling by registration of multiple range images. Image Vis. Comput. 10, 145–155 (1992)CrossRef Chen, Y., Medioni, G.: Object modeling by registration of multiple range images. Image Vis. Comput. 10, 145–155 (1992)CrossRef
5.
Zurück zum Zitat Cook, R.D., Malkus, D.S., Plesha, M.E., Witt, R.J.: Concepts and applications of finite element analysis, 3rd edn. Wiley, New York (1989)MATH Cook, R.D., Malkus, D.S., Plesha, M.E., Witt, R.J.: Concepts and applications of finite element analysis, 3rd edn. Wiley, New York (1989)MATH
6.
Zurück zum Zitat De Maesschalck, R., Jouan-Rimbaud, D., Massart, D.L.: The mahalanobis distance. Chemometr. Intell. Lab. Syst. 50(1), 1–18 (2000)CrossRef De Maesschalck, R., Jouan-Rimbaud, D., Massart, D.L.: The mahalanobis distance. Chemometr. Intell. Lab. Syst. 50(1), 1–18 (2000)CrossRef
7.
Zurück zum Zitat Dou, P., Shah, S.K., Kakadiaris, I.A.: End-to-end 3D face reconstruction with deep neural networks. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 Dou, P., Shah, S.K., Kakadiaris, I.A.: End-to-end 3D face reconstruction with deep neural networks. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017
9.
Zurück zum Zitat Elbrechter, C., Haschke, R., Ritter, H.: Bi-manual robotic paper manipulation based on real-time marker tracking and physical modelling. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1427–1432, September 2011. https://doi.org/10.1109/IROS.2011.6094742 Elbrechter, C., Haschke, R., Ritter, H.: Bi-manual robotic paper manipulation based on real-time marker tracking and physical modelling. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1427–1432, September 2011. https://​doi.​org/​10.​1109/​IROS.​2011.​6094742
14.
Zurück zum Zitat Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7122–7131 (2018) Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7122–7131 (2018)
15.
Zurück zum Zitat Kanazawa, A., Kovalsky, S., Basri, R., Jacobs, D.: Learning 3D deformation of animals from 2D images. In: Computer Graphics Forum, vol. 35, pp. 365–374. Wiley Online Library (2016) Kanazawa, A., Kovalsky, S., Basri, R., Jacobs, D.: Learning 3D deformation of animals from 2D images. In: Computer Graphics Forum, vol. 35, pp. 365–374. Wiley Online Library (2016)
16.
Zurück zum Zitat Kanazawa, A., Zhang, J.Y., Felsen, P., Malik, J.: Learning 3D human dynamics from video. In: Computer Vision and Pattern Recognition (CVPR) (2019) Kanazawa, A., Zhang, J.Y., Felsen, P., Malik, J.: Learning 3D human dynamics from video. In: Computer Vision and Pattern Recognition (CVPR) (2019)
17.
Zurück zum Zitat Kausch, L., Hilsmann, A., Eisert, P.: Template-based 3D non-rigid shape estimation from monocular image sequences. In: Proceedings of the Conference on Vision, Modeling and Visualization, pp. 37–44. Eurographics Association (2017) Kausch, L., Hilsmann, A., Eisert, P.: Template-based 3D non-rigid shape estimation from monocular image sequences. In: Proceedings of the Conference on Vision, Modeling and Visualization, pp. 37–44. Eurographics Association (2017)
18.
Zurück zum Zitat Leizea, I., Álvarez, H., Aguinaga, I., Borro, D.: Real-time deformation, registration and tracking of solids based on physical simulation. In: 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 165–170. IEEE (2014) Leizea, I., Álvarez, H., Aguinaga, I., Borro, D.: Real-time deformation, registration and tracking of solids based on physical simulation. In: 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 165–170. IEEE (2014)
20.
Zurück zum Zitat Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: SMPL: a skinned multi-person linear model. ACM Trans. Graph. 34(6), 248:1–248:16 (2015). (Proc. SIGGRAPH Asia)CrossRef Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: SMPL: a skinned multi-person linear model. ACM Trans. Graph. 34(6), 248:1–248:16 (2015). (Proc. SIGGRAPH Asia)CrossRef
23.
Zurück zum Zitat Newcombe, R.A., Fox, D., Seitz, S.M.: Dynamicfusion: reconstruction and tracking of non-rigid scenes in real-time. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 343–352 (2015) Newcombe, R.A., Fox, D., Seitz, S.M.: Dynamicfusion: reconstruction and tracking of non-rigid scenes in real-time. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 343–352 (2015)
25.
Zurück zum Zitat Park, Y., Lepetit, V., Woo, W.: Multiple 3D object tracking for augmented reality. In: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, pp. 117–120. IEEE Computer Society (2008) Park, Y., Lepetit, V., Woo, W.: Multiple 3D object tracking for augmented reality. In: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, pp. 117–120. IEEE Computer Society (2008)
26.
Zurück zum Zitat Paulus, C.J., Haouchine, N., Cazier, D., Cotin, S.: Augmented reality during cutting and tearing of deformable objects. In: 2015 IEEE International Symposium on Mixed and Augmented Reality, pp. 54–59. IEEE (2015) Paulus, C.J., Haouchine, N., Cazier, D., Cotin, S.: Augmented reality during cutting and tearing of deformable objects. In: 2015 IEEE International Symposium on Mixed and Augmented Reality, pp. 54–59. IEEE (2015)
27.
Zurück zum Zitat Petit, A., Lippiello, V., Fontanelli, G.A., Siciliano, B.: Tracking elastic deformable objects with an RGB-D sensor for a pizza chef robot. Robot. Auton. Syst. 88, 187–201 (2017)CrossRef Petit, A., Lippiello, V., Fontanelli, G.A., Siciliano, B.: Tracking elastic deformable objects with an RGB-D sensor for a pizza chef robot. Robot. Auton. Syst. 88, 187–201 (2017)CrossRef
28.
Zurück zum Zitat Pumarola, A., Agudo, A., Porzi, L., Sanfeliu, A., Lepetit, V., Moreno-Noguer, F.: Geometry-aware network for non-rigid shape prediction from a single view, June 2018 Pumarola, A., Agudo, A., Porzi, L., Sanfeliu, A., Lepetit, V., Moreno-Noguer, F.: Geometry-aware network for non-rigid shape prediction from a single view, June 2018
29.
Zurück zum Zitat Rambach, J., Pagani, A., Stricker, D.: [poster] augmented things: enhancing AR applications leveraging the Internet of Things and universal 3D object tracking. In: 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), pp. 103–108. IEEE (2017) Rambach, J., Pagani, A., Stricker, D.: [poster] augmented things: enhancing AR applications leveraging the Internet of Things and universal 3D object tracking. In: 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), pp. 103–108. IEEE (2017)
33.
Zurück zum Zitat Schulman, J., Lee, A., Ho, J., Abbeel, P.: Tracking deformable objects with point clouds. In: 2013 IEEE International Conference on Robotics and Automation, pp. 1130–1137. IEEE (2013) Schulman, J., Lee, A., Ho, J., Abbeel, P.: Tracking deformable objects with point clouds. In: 2013 IEEE International Conference on Robotics and Automation, pp. 1130–1137. IEEE (2013)
34.
36.
Zurück zum Zitat Taylor, C., Mullanay, C., McNicholas, R., Cosker, D.: VR props: an end-to-end pipeline for transporting real objects into virtual and augmented environments. In: 2019 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). IEEE (2019) Taylor, C., Mullanay, C., McNicholas, R., Cosker, D.: VR props: an end-to-end pipeline for transporting real objects into virtual and augmented environments. In: 2019 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). IEEE (2019)
37.
Zurück zum Zitat Tipping, M.E., Bishop, C.M.: Probabilistic principal component analysis. J. R. Stat. Soc.: Ser. B (Stat. Methodol.) 61(3), 611–622 (1999)MathSciNetCrossRef Tipping, M.E., Bishop, C.M.: Probabilistic principal component analysis. J. R. Stat. Soc.: Ser. B (Stat. Methodol.) 61(3), 611–622 (1999)MathSciNetCrossRef
38.
Zurück zum Zitat Tjaden, H., Schwanecke, U., Schomer, E.: Real-time monocular pose estimation of 3D objects using temporally consistent local color histograms. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 124–132 (2017) Tjaden, H., Schwanecke, U., Schomer, E.: Real-time monocular pose estimation of 3D objects using temporally consistent local color histograms. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 124–132 (2017)
39.
Zurück zum Zitat Tsoli, A., Argyros, A.A.: Joint 3D tracking of a deformable object in interaction with a hand. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 484–500 (2018) Tsoli, A., Argyros, A.A.: Joint 3D tracking of a deformable object in interaction with a hand. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 484–500 (2018)
40.
Zurück zum Zitat Tzionas, D., Ballan, L., Srikantha, A., Aponte, P., Pollefeys, M., Gall, J.: Capturing hands in action using discriminative salient points and physics simulation. CoRR abs/1506.02178 (2015). http://arxiv.org/abs/1506.02178 Tzionas, D., Ballan, L., Srikantha, A., Aponte, P., Pollefeys, M., Gall, J.: Capturing hands in action using discriminative salient points and physics simulation. CoRR abs/1506.02178 (2015). http://​arxiv.​org/​abs/​1506.​02178
44.
Zurück zum Zitat Welch, G., Bishop, G., et al.: An Introduction to the Kalman Filter (1995) Welch, G., Bishop, G., et al.: An Introduction to the Kalman Filter (1995)
45.
Zurück zum Zitat Xiang, Y., Schmidt, T., Narayanan, V., Fox, D.: PoseCNN: a convolutional neural network for 6D object pose estimation in cluttered scenes. arXiv preprint arXiv:1711.00199 (2017) Xiang, Y., Schmidt, T., Narayanan, V., Fox, D.: PoseCNN: a convolutional neural network for 6D object pose estimation in cluttered scenes. arXiv preprint arXiv:​1711.​00199 (2017)
Metadaten
Titel
Interacting with Real Objects in Virtual Worlds
verfasst von
Catherine Taylor
Darren Cosker
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-41816-8_15

Neuer Inhalt