Visualization of 3D variable in time object based on data gathered by active measurement system

• Autorzy: Garbat, P. , Kujawińska, M.
• Języki publikacji: EN

Abstrakty

EN

The recent needs of analysis and visualization of variable in time real 3D objects in many applications require development of new approach towards combining rapid 3D shape acquisition and the methodology of data processing in order to perform visualization and analysis of real 3D dynamic objects. In this paper, the general concept of visualization system of data gathered by means of optical 4D (x,y,z,t) shape measurement system is presented. The concept of a virtual camera, as the mean for interactive object visualization is introduced. The experimental results for processing of simulated and real variable in time 3D object are presented and discussed. The directions of future works focused on full implementation of the concept are introduced.

Słowa kluczowe

EN

3D object visualization; 3D data processing

• Czasopismo: Opto-Electronics Review
• Rocznik: 2008
• Tom: Vol. 16, No. 1
• Strony: 97-104
• Opis fizyczny: Bibliogr. 12 poz., tab., wykr.

Twórcy

autor

Garbat, P.

autor

Kujawińska, M.

• Institute of Microelectronics and Optoelectronics, Warsaw University of Technology, 75 Koszykowa Str., 00-662 Warsaw, Poland,

Bibliografia

• 1. M. Ollis, and T. Williamson, "The future of 3D Video", IEEE Computer 34, 97-99 (2001).
• 2. H.Y. Shum and S.B. Kang. "A review of image-based rendering techniques", IEEE/SPIE Visual Communications and Image Processing (VCIP), 2-13 (2000).
• 3. R. Sitnik, and M. Kujawińska, "Opto-numerical methods of data acquisition for computer graphics and animation systems", Proc. SPIE 3958, 36-43 (2000).
• 4. F. Chen, G.M. Brown, and M. Song, "Overview of three-dimensional shape measurement using optical methods", Opt. Eng. 39, 10-22 (2000).
• 5. C.L. Zitnick, S.B. Kang, M. Uyttendaele, S. Winder, and R. Szeliski, "High-quality video view interpolation using a layered representation", ACM SIGGRAPH and ACM Trans. On Graphics, Los Angeles, 600-608 (2004).
• 6. B. Goldlücke, I. Ihrke, C. Linz, and M. Magnor, "Weighted minimal hypersurface reconstruction", IEEE T. Pattern Anal. Machine Intelligence 29, 1194-1208 (2007).
• 7. M. Waschbüsch, S. Würmlin, D. Cotting, and M. Gross, "Point-sampled 3D video of real-world scenes", J. Signal Process. Image Commun. 22, 203-216 (2007).
• 8. M. Kujawińska, M. Węgiel, and R. Sitnik, "Real time 3D shape measurement based on colour structured light projection", Proc. 4th Int. Workshop on Automatic Processing of Fringe Patterns (Fringe'2001), Elsevier, 324-332 (2001).
• 9. P. Garbat and M. Kujawińska, "Combining fringe projection method of 3D object monitoring with virtual reality environment: concept and initial results", Proc. 1st Int. Symp. on 3D Data Processing Visualisation and Transmission (3DPVT), 504 (2002).
• 10. J.D. Foley, Computer Graphics: Principles and Practice in C, Addison-Wesley Professional, 1995.
• 11. H. Prautzsch, W. Boehm, and M. Paluszny, Bezier and B-Spline Techniques, Springer-Verlag Telos, 2002.
• 12. M. Węgiel, and M. Kujawińska, "Fast 3D shape measurement system based on colour light projection", Proc 5th Int. Workshop on Automatic Proc. of Fringe Patterns (Fringe'2005), 450-453 (2005).