Adaptive colour classification for structured light systems

IET Computer Vision

Volumn 3, Issue 2, 2009, Pages 49-59

  Fechteler, P ^a   Eisert, P ^a  

^a FRAUNHOFER HEINRICH HERTZ INSTITUTE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELS; 3D RECONSTRUCTION; COLOUR CLASSIFICATION; ENVIRONMENT ILLUMINATION; HIGH QUALITY; HIGH-SPEED; IMAGE PREPROCESSING; LABORATORY ENVIRONMENT; LIGHT CONDITIONS; LOW LEVEL IMAGE PROCESSING; LOW-LEVEL ALGORITHMS; MOVING OBJECTS; PHOTO-SENSORS; REFLECTANCE CHARACTERISTICS; SINGLE-SHOT; STRUCTURED LIGHT SYSTEMS;

COLOR; COMMUNICATION CHANNELS (INFORMATION THEORY); CONTENT BASED RETRIEVAL; IMAGE RECONSTRUCTION;

THREE DIMENSIONAL;

EID: 67650467356     PISSN: 17519632     EISSN: 17519640     Source Type: Journal    
DOI: 10.1049/iet-cvi.2008.0058     Document Type: Conference Paper

References (32)

1. Scharstein, D., and Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms ', Int. J. Comput. Vision (IJCV), 2002, 47, (1/2/3), p. 7-42 (Pubitemid 34428419)
2. Scharstein, D., and Szeliski, R.: 'High-accuracy stereo depth maps using structured light', IEEE Computer Society Conf. Computer Vision and Pattern Recognition (CVPR2003), Madison, WI, June, 2003, 1, p. 195-202
3. Boyer, K.L., and Kak, A.C.: 'Color-encoded structured light for rapid active ranging', IEEE Trans. Pattern Analy. Mach. Intell, 1987, 9, p. 14-28 0162-8828 (Pubitemid 17534846)
4. Monks, T., Carter, J.N., and Shadle, C.: 'Colour-encoded structured light for digitisation of real-time 3D data', Int. Conf. Image Processing and its Applications (ICIPA1992), April, 7-9, 1992, p. 327-330
5. Zhang, S., and Huang, P.S.: 'High-resolution real-time 3-D shape measurement', Opt. Eng., 2006, 45, (12)
6. Zhang, L., Snavely, N., Curless, B., and Seitz, S.M.: 'Spacetime faces: high-resolution capture for modeling and animation', Proc. ACM Annual Conf. Computer Graphics (SIGGRAPH2004), Los Angeles, CA, August, 2004, p. 548-558
7. Narasimhan, S.G., Nayar, S.K., Sun, B., and Koppal, S.J.: 'Structured light in scattering media', Proc. 10th IEEE Int. Conf. Computer Vision (ICCV2005), October, 17-21, 2005, 1, p. 420-427 (Pubitemid 44054988)
8. Zhang, L., Curless, B., and Seitz, S.M.: 'Rapid shape acquisition using color structured light and multi-pass dynamic programming', The 1st IEEE Int. Symp. 3D Data Processing, Visualization and Transmission (3DPVT2002), Padova, Italy, June, 2002, p. 24-36
9. Fechteler, P., Eisert, P., and Rurainsky, J.: 'Fast and high resolution 3D face scanning', Proc. Int. Conf. Image Processing (ICIP 2007), San Antonio, TX, USA, September, 2007, 3, p. 81-84
10. Fechteler, P., and Eisert, P.: 'Adaptive color classification for structured light systems', Proc. 15th Int. Conf. Computer Vision and Pattern Recognition (CVPR2008) - Workshop on 3D Face Processing (3DFP), Anchorage, Alaska, USA, June, 27, 2008, p. 1-7
11. Zhang, L., Curless, B., and Seitz, S.M.: 'Spacetime stereo: shape recovery for dynamic scenes', IEEE Computer Society Conf. Computer Vision and Pattern Recognition (CVPR2003), Madison, WI, June, 18-20, 2003, 2, p. 367-374
12. Xu, Y., and Aliaga, D.G.: ' Photogeometric structured light: a self-calibrating and multi-viewpoint framework for accurate 3D modeling ', IEEE Computer Vision and Pattern Recognition (CVPR2008), Anchorage, Alaska, USA, June, 24-26, 2008, p. 1-8
13. Koninckx, T.P., Geys, I., Jaeggli, T., and Gool, L.V.: ' A graph cut based adaptive structured light approach for real-time range acquisition ', Proc. 2nd Int. Symp. 3D Data Processing, Visualization, and Transmission (3DPVT 2004), Thessaloniki, Greece, September, 6-9, 2004, p. 413- 421
14. Salvi, J., Pages, J., and Batlle, J.: ' Pattern codification strategies in structured light systems ', Pattern Recognition, 2004, 37, p. 827-849 (Pubitemid 38301059)
15. Albitar, C., Graebling, P., and Doignon, C.: ' Design of a monochromatic pattern for a robust structured light coding ', IEEE Int. Conf. Image Processing (ICIP 2007), San Antonio, TX, USA, September, 16-20, 2007, p. 529-532 (VI)
16. Albitar, C., Graebling, P., and Doignon, C.: ' Robust structured light coding for 3D reconstruction ', IEEE 11th Int. Conf. Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, October, 14-21, 2007, p. 1-6
17. Caspi, D., Kiryati, N., and Shamir, J.: ' Range imaging with adaptive color structured light ', IEEE Trans. Pattern Analy. Mach. Intell, 1998, 20, (5), p. 470-480 0162-8828 (Pubitemid 128741327)
18. Koninckx, T.P., Peers, P., Dutre, P., and Gool, L.V.: ' Scene-adapted structured light ', Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition (CVPR 2005), San Diego, CA, USA, June, 20-25, 2005, 2, p. 611-618
19. Blais, F., Picard, M., and Godin, G.: ' Recursive model optimization using icp and free moving 3D data acquisition ', Proc. 4th Int. Conf. 3-D Digital Imaging and Modeling (3DIM 2003), Banff, Alberta, Canada, October, 6-10, 2003, p. 251-258
20. Xu, Y., and Aliaga, D.G.: ' Robust pixel classification for 3D modeling with structured light ', Proc. Graphics Interface (GI2007), ACM Int. Conf. Proceeding Series, Montreal, Canada, May, 2007, 234, p. 233-240 (Pubitemid 47273858)
21. Nayar, S.K., Krishnan, G., Grossberg, M.D., and Raskar, R.: ' Fast separation of direct and global components of a scene using high frequency illumination ', Proc. ACM Transactions on Graphics (SIGGRAPH 2006), New York, NY, USA, July, 2006, 25, p. 935-944 (Pubitemid 44481055)
22. Je, C., Lee, S.W., and Park, R.-H.: ' High-contrast color-stripe pattern for rapid structured-light range imaging ', Proc. 8th European Conf. Computer Vision (ECCV2004), Prague, Czech Republic, May, 11-14, 2004, 3021/2004, p. 95-107
23. Pags, J., Salvi, J., Collewet, C., and Forest, J.: ' Optimised De Bruijn patterns for one-shot shape acquisition ', Image Vision Comput., 2005, 23, p. 707-720 (Pubitemid 41101036)
24. Fredricksen, H.: ' The lexicographically least debruijn cycle ', J. Comb. Theory, 1970, 9, p. 509-510
25. Köthe, U.: ' Edge and junction detection with an improved structure tensor ', Pattern Recognition, Proc. 25th DAGM Symp., Magdeburg, 2003, p. 25-32
26. MacQueen, J.B.: ' Some methods for classification and analysis of multivariate observations ', Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, Berkeley, 1967, p. 281-297
27. Bishop, C.M.: ' Pattern recognition and machine learning ', (Information science and statistics, Springer, 2006)
28. Arthur, D., and Vassilvitskii, S.: ' k-means++: the advantages of careful seeding ', Proc. 18th Annual ACM-SIAM Symp. Discrete Algorithms (SODA2007), New Orleans, LA, USA, January, 7-9, 2007, p. 1027-1035
29. Wagner, D.B.: ' Dynamic programming ', Math. J., 1995., 5, (4), p. 42-51 1047-5974
30. Young, M., Beeson, E., Davis, J., Rusinkiewicz, S., and Ramamoorthi, R.: ' Viewpoint-coded structured light ', IEEE Computer Society Conf. Computer Vision and Pattern Recognition (CVPR2007), Minneapolis, Minnesota, USA, June, 18-23, 2007, p. 1-8
31. Eisert, P.: ' Model-based camera calibration using analysis by synthesis techniques ', Proc. 7th Int. Workshop Modeling, and Visulazition 2002, Erlangen, Germany, November, 2002, p. 307-314
32. Goldman, R.: ' Intersection of two lines in three space ', (Academic Press, 1990), p. 304