Abstract
To meet the requirement of interaction and real time modeling in simulation scenarios, a strategy for scenarios construction is proposed. We take advantage of the technique of augmented reality to study. In order to constitute the scene we reconstruct fluid surface from video combining the fluid motion vectors with LBM (Lattice Boltzmann Method) and refine the height field by interpolating distribution of the fluid particle. Based on the purpose of virtual and real object combination, this study proposes a method of tracing the gold feature points between frames using continuity of particle movement. The strategy of dichotomy is taken to refine the camera intrinsic parameters and SBA (Sparse Bundle Adjustment) method is taken to optimize the intrinsic and extrinsic parameters. Further experiment results demonstrate that it is a valid and efficient method for simulation environment constructing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Heas, P., Memin, E.: Three-dimensional motion estimation of atmospheric layers from image sequences. IEEE Transactions on Geoscience and Remote Sensing 46, 2385–2396 (2008)
Nagai, T., Naruse, T., Ikehara, M., et al.: HMM-based Surface Reconstruction from Single Images. In: Proceeding of IEEE International Conference of Image Processing, pp. 561–564 (2002)
Frankot, R., Chellapp, R.: A Method for Enforcing Integrability. In: Shape from Shading Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 10, 439–451 (1988)
Pickup, D., Li, C., Cosker, D., Hall, P., Willis, P.: Reconstructing Mass-Conserved Water Surfaces using Shape from Shading and Optical Flow. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part IV. LNCS, vol. 6495, pp. 189–201. Springer, Heidelberg (2011)
Zhang, Z., Deriche, R., Faugera, Z., et al.: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence Journal 78, 87–119 (1995)
Zhang, G.F., Jia, J.Y., et al.: Consistent Depth Maps Recovery from a Video Sequence. IEEE Transactions on Pattern Analysis and Machine Intelligence 31, 974–988 (2006)
Peteri, R., Huskies, M., Fazekas, S.: DynTex: A Comprehensive Database of Dynamic Textures. Pattern Recognition Letters 31, 1627–1632 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xue, H., Quan, H., Song, X., Wu, M. (2013). Construction of Simulation Environment Based on Augmented Reality Technique. In: Tan, G., Yeo, G.K., Turner, S.J., Teo, Y.M. (eds) AsiaSim 2013. AsiaSim 2013. Communications in Computer and Information Science, vol 402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45037-2_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-45037-2_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45036-5
Online ISBN: 978-3-642-45037-2
eBook Packages: Computer ScienceComputer Science (R0)