REAL TIME RECONSTRUCTION OF FLUID IN VIDEO

This paper puts forward a new method of realtime reconstruction of fluid in natural scene. It takes the measure of combination of image analysis and LBM (Lattice Boltzmann Methods). First, employs LK (Lucas–Kanade) method to calculate the dense optical flow, and then takes LBM to obtain the joint force of central particles for the initial result. After backfilling the velocity vectors field, it adopts the K-means cluster to obtain several classes, in each class, it takes advantage of the Rayleigh distribution to fit the height field of fluid. Finally, the reconstruction result of fluid is obtained. In addition, it demonstrates the results of the height field of fluid in the experiment. Further experiments shows that it is a valid method of fluid reconstruction with real time and can be used in the study of natural landscape fluid with efficiency and feasibility.

[1]  Masaaki Ikehara,et al.  HMM-based surface reconstruction from single images , 2002, Proceedings. International Conference on Image Processing.

[2]  J. Boon The Lattice Boltzmann Equation for Fluid Dynamics and Beyond , 2003 .

[3]  Eric Maisel,et al.  Using vanishing points for camera calibration and coarse 3D reconstruction from a single image , 2000, The Visual Computer.

[4]  Hans-Peter Seidel,et al.  Performance capture from sparse multi-view video , 2008, SIGGRAPH 2008.

[5]  Long Quan,et al.  Image-based tree modeling , 2007, SIGGRAPH 2007.

[6]  Dmitry Chetverikov,et al.  Detecting Regions of Dynamic Texture , 2007, SSVM.

[7]  Bin Deng,et al.  A new scheme for source term in LBGK model for convection-diffusion equation , 2008, Comput. Math. Appl..

[8]  Derek Bradley,et al.  Markerless garment capture , 2008, SIGGRAPH 2008.

[9]  Abhijeet Ghosh,et al.  Practical modeling and acquisition of layered facial reflectance , 2008, SIGGRAPH 2008.

[10]  Adam Davies,et al.  3D Point Cloud Tree Modeling , 2010 .

[11]  Joshua Zhexue Huang,et al.  Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values , 1998, Data Mining and Knowledge Discovery.

[12]  Y. Qian,et al.  Lattice BGK Models for Navier-Stokes Equation , 1992 .

[13]  F. Tsai,et al.  Multilayer shallow water flow using lattice Boltzmann method with high performance computing , 2009 .

[14]  Marc Pollefeys,et al.  Interactive 3D architectural modeling from unordered photo collections , 2008, SIGGRAPH 2008.

[15]  Étienne Mémin,et al.  Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[16]  D. Wolf-Gladrow Lattice-Gas Cellular Automata and Lattice Boltzmann Models: An Introduction , 2000 .

[17]  Marcus A. Magnor,et al.  Reconstructing the geometry of flowing water , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[18]  R. Benzi,et al.  The lattice Boltzmann equation: theory and applications , 1992 .

[19]  Mark J. Huiskes,et al.  DynTex: A comprehensive database of dynamic textures , 2010, Pattern Recognit. Lett..