Visual vibrometry: Estimating material properties from small motions in video

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 5335-5343

  Davis, Abe ^a   Bouman, Katherine L ^a   Chen, Justin G ^a   Rubinstein, Michael ^b   Durand, Frédo ^a   Freeman, William T ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION;

COMPUTER VISION TECHNIQUES; FRAME-RATE; HIGH SPEED; SCENE UNDERSTANDING; VIBRATION MECHANICS; VIBROMETRY;

COMPUTER VISION;

EID: 84959239475     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7299171     Document Type: Conference Paper

References (31)

1. V. Aranchuk, A. Lal, J. M. Sabatier, and C. Hess. Multi-beam laser doppler vibrometer for landmine detection. Optical En-gineering, 45(10):104302-104302, 2006.
2. K. S. Bhat, C. D. Twigg, J. K. Hodgins, P. K. Khosla, Z. Popovíc, and S. M. Seitz. Estimating cloth simulation parameters from video. In Proceedings of the 2003 ACM SIG-GRAPH/Eurographics Symposium on Computer Animation, SCA '03, pages 37-51, Aire-la-Ville, Switzerland, Switzerland, 2003. Eurographics Association.
3. K. L. Bouman, B. Xiao, P. Battaglia, andW. T. Freeman. Estimating the material properties of fabric from video. Com-puter Vision, IEEE International Conference on, 0:1984-1991, 2013.
4. O. Buyukozturk, R. Haupt, C. Tuakta, and J. Chen. Remote detection of debonding in frp-strengthened concrete structures using acoustic-laser technique. In Nondestructive Testing of Materials and Structures, pages 19-24. Springer, 2013.
5. P. Castellini, N. Paone, and E. P. Tomasini. The laser doppler vibrometer as an instrument for nonintrusive diagnostic of works of art: application to fresco paintings. Optics and Lasers in Engineering, 25(4):227-246, 1996.
6. J. G. Chen, R.W. Haupt, and O. Buyukozturk. Acoustic-laser vibrometry technique for the noncontact detection of discontinuities in fiber reinforced polymer-retrofitted concrete. Ma-terials evaluation, 72(10):1305-1313, 2014.
7. J. G. Chen, N.Wadhwa, Y.-J. Cha, F. Durand,W. T. Freeman, and O. Buyukozturk. Structural modal identification through high speed camera video: Motion magnification. In Topics in Modal Analysis I, Volume 7, pages 191-197. Springer, 2014.
8. J. G. Chen, N. Wadhwa, Y.-J. Cha, F. Durand, W. T. Freeman, and O. Buyukozturk. Modal identification of simple structures with high-speed video using motion magnification. Journal of Sound and Vibration, 345:58-71, 2015.
9. L. Collini, R. Garziera, and F. Mangiavacca. Development, experimental validation and tuning of a contact-less technique for the health monitoring of antique frescoes. NDT & E International, 44(2):152-157, 2011.
10. A. Davis, M. Rubinstein, N. Wadhwa, G. J. Mysore, F. Durand, and W. T. Freeman. The visual microphone: Passive recovery of sound from video. ACM Trans. Graph., 33(4):79:1-79:10, July 2014.
11. F. Durst, A. Melling, and J. H. Whitelaw. Principles and practice of laser-doppler anemometry. NASA STI/Recon Technical Report A, 76:47019, 1976.
12. T. Emge and O. Buyukozturk. Remote nondestructive testing of composite-steel interface by acoustic laser vibrometry. Materials evaluation, 70(12):1401-1410, 2012.
13. D. J. Fleet and A. D. Jepson. Computation of component image velocity from local phase information. International Journal of Computer Vision, 5(1):77-104, 1990.
14. R. W. Fleming, R. O. Dror, and E. H. Adelson. Real-world illumination and the perception of surface reflectance properties. Journal of Vision, 2003.
15. R. W. Haupt and K. D. Rolt. Standoff acoustic laser technique to locate buried land mines. Lincoln Laboratory Jour-nal, 15(1):3-22, 2005.
16. Y.-x. Ho, M. S. Landy, and L. T. Maloney. How direction of illumination affects visually perceived surface roughness. Journal of Vision, 2006.
17. N. Jojic and T. S. Huang. Estimating cloth draping parameters from range data. In In International Workshop on Synthetic-Natural Hybrid Coding and 3-D Imaging, pages 73-76, 1997.
18. S. Kawabata and M. Niwa. Fabric performance in clothing and clothing manufacture. Journal of the Textile Institute, 1989.
19. C. Liu, L. Sharan, E. Adelson, and R. Rosenholtz. Exploring features in a Bayesian framework for material recognition. 2010.
20. J. Portilla and E. P. Simoncelli. A parametric texture model based on joint statistics of complex wavelet coefficients. Int. J. Comput. Vision, 40(1):49-70, Oct. 2000.
21. M. Rubinstein. Analysis and Visualization of Temporal Vari-ations in Video. PhD thesis, Massachusetts Institute of Technology, Feb 2014.
22. C. Santulli and G. Jeronimidis. Development of a method for nondestructive testing of fruits using scanning laser vibrometry (SLV). NDT. net, 11(10), 2006.
23. A. A. Shabana. Theory of vibration, volume 2. Springer, 1991.
24. L. Sharan, Y. Li, I. Motoyoshi, S. Nishida, and E. H. Adelson. Image statistics for surface reflectance perception. Jour-nal of the Optical Society of America. A, Optics, image sci-ence, and vision, Apr. 2008.
25. P. Shull. Nondestructive evaluation: theory, techniques, and applications, volume 142. CRC, 2002.
26. E. P. Simoncelli, W. T. Freeman, E. H. Adelson, and D. J. Heeger. Shiftable multi-scale transforms. IEEE Trans. Info. Theory, 2(38):587-607, 1992.
27. A. Stanbridge and D. Ewins. Modal testing using a scanning laser doppler vibrometer. Mechanical Systems and Signal Processing, 13(2):255-270, 1999.
28. N. Wadhwa, M. Rubinstein, F. Durand, and W. T. Freeman. Phase-based video motion processing. ACM Transactions on Graphics (TOG), 32(4):80, 2013.
29. N. Wadhwa, M. Rubinstein, F. Durand, and W. T. Freeman. Riesz pyramid for fast phase-based video magnification. In Computational Photography (ICCP), 2014 IEEE Interna-tional Conference on. IEEE, 2014.
30. H. Wang, J. F. O'Brien, and R. Ramamoorthi. Data-driven elastic models for cloth: modeling and measurement. SIGGRAPH, 2011.
31. H.-Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, and W. Freeman. Eulerian video magnification for revealing subtle changes in the world. ACM Transactions on Graphics (TOG), 31(4):65, 2012.