Reconstruction and texturing of 3D urban terrain from uncalibrated monocular images using L1 splines

Photogrammetric Engineering and Remote Sensing

Volumn 76, Issue 4, 2010, Pages 439-449

  Bulatov, Dimitrl ^a   Lavery, John E ^a,b  

^a FRAUNHOFER GESELLSCHAFT   (Germany)

^b U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE OPTICS; GEOMETRICAL OPTICS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE TEXTURE; LANDFORMS;

3D SURFACE RECONSTRUCTION; ADAPTIVE GRIDS; COMPUTATIONAL RESULTS; FUTURE IMPROVEMENTS; MONOCULAR IMAGE; PARAMETRIZATIONS; PROOF OF PRINCIPLES; SPLINE SURFACES;

SURFACE RECONSTRUCTION;

IMAGE ANALYSIS; IMAGING METHOD; PARAMETERIZATION; RECONSTRUCTION; TERRAIN; TEXTURE; URBAN GEOGRAPHY;

BADEN-WURTTEMBERG; GERMANY; KARLSRUHE;

EID: 77951001284     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.76.4.439     Document Type: Article

References (32)

1. Adler, I., and R.D.C. Monteiro, 1991. Limiting behavior of the affine scaling continuous trajectories for linear programming, Mathematical Programming, 50(1):29-51.
2. Amenta, N., and M. Bern, 1999. Surface reconstruction by Voronoi filtering, Discrete and Computational Geometry, 22(4):481-504.
3. Bernardini, F., J. Mittleman, H. Rushmeier, C Silva, and G. Taubin, 1999. The ball-pivoting algorithm for surface reconstruction. IEEE Transactions on Visualization and Computer Graphics, 5(4):349-359.
4. Boissonnat, J.-D., D. Cohen-Steiner, B. Mourrain, G. Rote, and G. Vegter, 2006. Meshing of surfaces, effective computational geometry for curves and surfaces (J.-D. Boissonnat and M. Teillaud, editors), Mathematics and Visualization, Springer-Verlag, pp. 181-229.
5. Brovelli, M.A., and M. Cannata, 2004. Digital terrain model reconstruction in urban areas from airborne laser scanning data: The method and an example for Pavia (northern Italy), Computers & Geosciences, 30(4):325-331.
6. rd International Conference on Computer Vision Theory and Applications VISAPP (2), 22-25 January, Funchal, Madeira, Portugal, pp. 476-483.
7. th Annual Conference on Computer Graphics and Interactive Techniques SIGGRAPH 2001, 12-17 August, Los Angeles, California, pp. 67-76.
8. Cressie, N., 1993. Statistics for Spatial Data, Revised edition, Wiley, New York, 900 p.
9. rd Annual Conference on Computer Graphics and Interactive Techniques SIGGRAPH 1996, 04-09 August, New Orleans, Louisiana, pp. 325-334.
10. Edelsbrunner, H., and E.P. Mücke, 1994. Three-dimensional alpha shapes, ACM Transactions on Graphics, 13(1):43-72.
11. Edelsbrunner, H., 1992. Weighted Alpha Shapes, Report UTUCDCS-R-92-1760, Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, Illinois, 16 p.
12. Farin, G., 1995: NURB Curves and Surfaces: From ProjectiveGeometry to Practical Use, A.K. Peters, Wellesley, Massachusetts, 230 p.
13. Farin, G., 1997, Curves and Surfaces for Computer-Aided Geometric Design: A Practical Guide, Fourth edition, Academic Press, San Diego, California, 300 p.
14. Gill, P.E., and W. Murray, 1978. Algorithms for the solution of the nonlinear least-squares problem, SIAM Journal on Numerical Analysis. 15(5):977-992.
15. 1 smoothing splines, Approximation Theory X: Wavelets, Splines, and Applications (C.K. Chui, L.L. Schumaker, and J. Stöckler, editors), Vanderbilt University Press, Nashville, Tennessee, pp. 283-293.
16. 1 piecewise cubics, SZAM Journal on Numerical Analysis, 34(2):569-585.
17. Hartley, R., and A. Zisserman, 2000. Multiple View Geometry in Computer Vision, Cambridge University Press, Cambridge, 624 pp.
18. Hilton, A., and J. Olingworth, 1997. Marching triangles: Delaunay implicit surface triangulation, Technical Report CVSSP 01, University of Surrey, Guilford.
19. Hoppe, H., T. Derose, T. Duchamp, J. Mcdonald, and W. Stuetzle, 1992. Surface reconstruction from unorganized points, Computer Graphics, 26(2):71-78.
20. 1 splines, Computer Aided Geometric Design, 18(4):321-343.
21. 1 spline fits, Computer Aided Geometric Design, 21(1):43-64.
22. 1 spline curves, Computer Aided Geometric Design, 23(3):276-296.
23. th Army Science Conference, 27-30 November, Orlando, Florida (Department of the Army, Washington, D.C.), PP-08.
24. Lorensen, W.E., and H.E. Cline 1987. Marching cubes: A high resolution 3D surface construction algorithm, Computer Graphics, 21(4):163-170.
25. Martinec, D., and T. Pajdla, 2006. 3D reconstruction by gluing pairwise Euclidean reconstructions, or "How to achieve a good reconstruction from bad images", Proceedings of the 3D Data Processing, Visualization and Transmission Conference (3DPVT), 14-16 June, Chapel Hill, North Carolina.
26. Morris, D., and T. Kanadě, 2000. Image-consistent surface triangulation, Proceedings of thie IEEE Conference on Computer Vision and Pattern Recognition, 1:332-338.
27. Nistér, D., 2001. Automatic Dense Reconstruction from Uncalibrated Video Sequences, Ph.D. dissertation, Royal Institute of Technology KTH, Stockholm, Sweden, 226 pp.
28. Schumaker, L.L., 1993. Triangulations in CAGD, Computer Graphics and Applications, TEEE, 13(1):47-52.
29. Späth, H., 1995. Two Dimensional Spline Interpolation Algorithms, A.K. Peters, WeTJesley, Massachusetts, 304 p.
30. Vanderbei, RJ., 1989. Affine-scaling for linear programs with free variables, Mathematical Programming, 43(1):31-44.
31. Vanderbei, R.J., MJ. Meketon, and B.A. Freedman, 1986. A modification of Karmarkar's linear programming algorithm, Algorithmica, 1(4):395-407. (Pubitemid 17554123)
32. Wahba, G., 1991. Multivariate Model Building with Additive Interaction and Tensor Product Thin Plate Splines, Academic Press, San Diego, California, 491 pp.