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Volumn , Issue , 2012, Pages 456-463

Sparse modeling of shape from structured light

Author keywords

3D reconstruction; inverse problems; sparse priors; structured light

Indexed keywords

3D DATA ACQUISITION; 3D RECONSTRUCTION; 3D SURFACE; ALTERNATING MINIMIZATION ALGORITHMS; DEPTH RECONSTRUCTION; LOCAL SURFACES; LOW SNR; OBJECT MOTION; PROBABILISTIC MODELS; RECONSTRUCTION ERROR; RECONSTRUCTION PROCESS; ROBUST ESTIMATION; SPARSE PRIOR; STRUCTURED LIGHT;

EID: 84872051954     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/3DIMPVT.2012.20     Document Type: Conference Paper
Times cited : (7)

References (40)
  • 1
    • 24644478715 scopus 로고    scopus 로고
    • A non-local algorithm for image denoising
    • A. Buades, B. Coll, and J.-M. Morel. A non-local algorithm for image denoising. In CVPR, pages 60-65, 2005.
    • (2005) CVPR , pp. 60-65
    • Buades, A.1    Coll, B.2    Morel, J.-M.3
  • 2
    • 0030244630 scopus 로고    scopus 로고
    • Geometric feature detection for reverse engineering using range imaging
    • September
    • Y. Cai, A. Nee, and H. Loh. Geometric feature detection for reverse engineering using range imaging. J. of Vis. Comm. and Image Repres., 7(3):205-216, September 1996.
    • (1996) J. of Vis. Comm. and Image Repres. , vol.7 , Issue.3 , pp. 205-216
    • Cai, Y.1    Nee, A.2    Loh, H.3
  • 3
    • 0032022704 scopus 로고    scopus 로고
    • Nonlinear wavelet image processing: Variational problems, compression, and noise removal through wavelet shrinkage
    • A. Chambolle, R. A. DeVore, N.-Y. Lee, and B. J. Lucier. Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage. IEEE Trans. Image Process., 7(3):319-335, 1998.
    • (1998) IEEE Trans. Image Process. , vol.7 , Issue.3 , pp. 319-335
    • Chambolle, A.1    DeVore, R.A.2    Lee, N.-Y.3    Lucier, B.J.4
  • 4
    • 0002875807 scopus 로고
    • Computing minimal surfaces via level set curvature flow
    • May
    • D. L. Chopp. Computing minimal surfaces via level set curvature flow. J. Comput. Phys., 106(1):77-91, May 1993.
    • (1993) J. Comput. Phys. , vol.106 , Issue.1 , pp. 77-91
    • Chopp, D.L.1
  • 5
    • 0029713925 scopus 로고    scopus 로고
    • A space-sweep approach to true multi-image matching
    • R. T. Collins. A space-sweep approach to true multi-image matching. In CVPR, pages 358-363, 1996.
    • (1996) CVPR , pp. 358-363
    • Collins, R.T.1
  • 6
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • May
    • D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell., 24:603-619, May 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 7
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionaries
    • M. Elad and M. Aharon. Image denoising via sparse and redundant representations over learned dictionaries. Image Processing, IEEE Transactions on, 15(12):3736-3745, 2006.
    • (2006) Image Processing, IEEE Transactions on , vol.15 , Issue.12 , pp. 3736-3745
    • Elad, M.1    Aharon, M.2
  • 9
    • 0029341230 scopus 로고
    • Nonlinear image recovery with half-quadratic regularization
    • D. Geman and C. Yang. Nonlinear image recovery with half-quadratic regularization. IEEE Trans. Image Process., 5(7):932-946, 1995.
    • (1995) IEEE Trans. Image Process. , vol.5 , Issue.7 , pp. 932-946
    • Geman, D.1    Yang, C.2
  • 11
    • 0034869429 scopus 로고    scopus 로고
    • Stripe boundary codes for real-time structured-light range scanning of moving objects
    • IEEE
    • O. Hall-Holt and S. Rusinkiewicz. Stripe boundary codes for real-time structured-light range scanning of moving objects. In ICCV, volume 2, pages 359-366. IEEE, 2001.
    • (2001) ICCV , vol.2 , pp. 359-366
    • Hall-Holt, O.1    Rusinkiewicz, S.2
  • 12
    • 17544385101 scopus 로고    scopus 로고
    • 3D object recognition from range images using local feature histograms
    • G. Hetzel, B. Leibe, P. Levi, and B. Schiele. 3D object recognition from range images using local feature histograms. In CVPR, pages 394-399, 2001.
    • (2001) CVPR , pp. 394-399
    • Hetzel, G.1    Leibe, B.2    Levi, P.3    Schiele, B.4
  • 13
    • 77958011399 scopus 로고    scopus 로고
    • Fusion of range and color images for denoising and resolution enhancement with a non-local filter
    • B. Huhle, T. Schairer, P. Jenke, andW. Straßer. Fusion of range and color images for denoising and resolution enhancement with a non-local filter. Computer Vision and Image Understanding, 114(12):1336-1345, 2010.
    • (2010) Computer Vision and Image Understanding , vol.114 , Issue.12 , pp. 1336-1345
    • Huhle, B.1    Schairer, T.2    Jenke, P.3    Straßer, W.4
  • 14
    • 84863070418 scopus 로고    scopus 로고
    • Optical flow estimation using learned sparse model
    • 0
    • K. Jia, X. Wang, and X. Tang. Optical flow estimation using learned sparse model. ICCV, 0:2391-2398, 2011.
    • (2011) ICCV , pp. 2391-2398
    • Jia, K.1    Wang, X.2    Tang, X.3
  • 15
    • 84872036042 scopus 로고    scopus 로고
    • Complete dense stereovision using level set methods
    • R. Keriven and O. Faugeras. Complete dense stereovision using level set methods. In ECCV, 1998.
    • (1998) ECCV
    • Keriven, R.1    Faugeras, O.2
  • 16
    • 84455200925 scopus 로고    scopus 로고
    • 3D object recognition in range images using visibility context
    • E. Kim and G. G. Medioni. 3D object recognition in range images using visibility context. In IROS, pages 3800-3807, 2011.
    • (2011) IROS , pp. 3800-3807
    • Kim, E.1    Medioni, G.G.2
  • 17
    • 31544477715 scopus 로고    scopus 로고
    • Real-time range acquisition by adaptive structured light
    • T. Koninckx and L. Van Gool. Real-time range acquisition by adaptive structured light. IEEE Trans. Pattern Anal. Mach. Intell., 28(3):432-445, 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.3 , pp. 432-445
    • Koninckx, T.1    Van Gool, L.2
  • 18
    • 0032381035 scopus 로고    scopus 로고
    • The approximation power of moving leastsquares
    • D. Levin. The approximation power of moving leastsquares. Math. Comput., 67(224):1517-1531, 1998.
    • (1998) Math. Comput. , vol.67 , Issue.224 , pp. 1517-1531
    • Levin, D.1
  • 19
    • 70350068054 scopus 로고    scopus 로고
    • Local feature extraction and matching on range images: 2.5D SIFT
    • December
    • T.-W. R. Lo and J. P. Siebert. Local feature extraction and matching on range images: 2.5D SIFT. Computer Vision and Image Understanding, 113:1235-1250, December 2009.
    • (2009) Computer Vision and Image Understanding , vol.113 , pp. 1235-1250
    • Lo, T.-W.R.1    Siebert, J.P.2
  • 21
    • 0030684547 scopus 로고    scopus 로고
    • Fast optical hazard detection for planetary rovers using multiple spot laser triangulation
    • IEEE Press
    • L. Matthies, T. Balch, and B.Wilcox. Fast optical hazard detection for planetary rovers using multiple spot laser triangulation. In ICRA, pages 859-866. IEEE Press, 1997.
    • (1997) ICRA , pp. 859-866
    • Matthies, L.1    Balch, T.2    Wilcox, B.3
  • 23
    • 84856683991 scopus 로고    scopus 로고
    • DTAM: Dense tracking and mapping in real-time
    • R. A. Newcombe, S. Lovegrove, and A. J. Davison. DTAM: Dense tracking and mapping in real-time. In ICCV, pages 2320-2327, 2011.
    • (2011) ICCV , pp. 2320-2327
    • Newcombe, R.A.1    Lovegrove, S.2    Davison, A.J.3
  • 25
  • 26
    • 76249115401 scopus 로고    scopus 로고
    • High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening
    • Piscataway, NJ, USA, IEEE Press
    • M. Quigley, S. Batra, S. Gould, E. Klingbeil, Q. Le, A.Wellman, and A. Y. Ng. High-accuracy 3D sensing for mobile manipulation: improving object detection and door opening. In ICRA, pages 3604-3610, Piscataway, NJ, USA, 2009. IEEE Press.
    • (2009) ICRA , pp. 3604-3610
    • Quigley, M.1    Batra, S.2    Gould, S.3    Klingbeil, E.4    Le, Q.5    Wellman, A.6    Ng, A.Y.7
  • 28
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • L. I. Rudin, S. Osher, and E. Fatemi. Nonlinear total variation based noise removal algorithms. Physica D Letters, 60:259-268, 1992.
    • (1992) Physica D Letters , vol.60 , pp. 259-268
    • Rudin, L.I.1    Osher, S.2    Fatemi, E.3
  • 29
    • 77951258382 scopus 로고    scopus 로고
    • A state of the art in structured light patterns for surface profilometry
    • J. Salvi, S. Fernandez, T. Pribanic, and X. Llado. A state of the art in structured light patterns for surface profilometry. Pattern Recognition, 43(8):2666-2680, 2010.
    • (2010) Pattern Recognition , vol.43 , Issue.8 , pp. 2666-2680
    • Salvi, J.1    Fernandez, S.2    Pribanic, T.3    Llado, X.4
  • 31
    • 48949117372 scopus 로고    scopus 로고
    • Adaptive feature-preserving non-local denoising of static and time-varying range data
    • O. Schall, A. Belyaev, and H.-P. Seidel. Adaptive feature-preserving non-local denoising of static and time-varying range data. Computer-Aided Design, 40(6):701-707, 2008.
    • (2008) Computer-Aided Design , vol.40 , Issue.6 , pp. 701-707
    • Schall, O.1    Belyaev, A.2    Seidel, H.-P.3
  • 33
    • 78349284463 scopus 로고    scopus 로고
    • Real-Time Dense Geometry from a Handheld Camera
    • Darmstadt, Germany, Sept.
    • J. Stuehmer, S. Gumhold, and D. Cremers. Real-Time Dense Geometry from a Handheld Camera. In Pattern Recognition (Proc. DAGM), pages 11-20, Darmstadt, Germany, Sept. 2010.
    • (2010) Pattern Recognition (Proc. DAGM) , pp. 11-20
    • Stuehmer, J.1    Gumhold, S.2    Cremers, D.3
  • 34
    • 84891504135 scopus 로고    scopus 로고
    • A MRF formulation for coded structured light
    • volume 0, Washington, DC, USA, IEEE Computer Society
    • J. P. Tardif and S. Roy. A MRF formulation for coded structured light. In 3DIM, volume 0, pages 22-29, Washington, DC, USA, 2005. IEEE Computer Society.
    • (2005) 3DIM , pp. 22-29
    • Tardif, J.P.1    Roy, S.2
  • 35
    • 84872022394 scopus 로고    scopus 로고
    • Learning sparse representations of depth
    • abs/1011.6656
    • I. Tosic, B. A. Olshausen, and B. J. Culpepper. Learning sparse representations of depth. CoRR, abs/1011.6656, 2010.
    • (2010) CoRR
    • Tosic, I.1    Olshausen, B.A.2    Culpepper, B.J.3
  • 36
    • 79961211870 scopus 로고    scopus 로고
    • A review of fast l1-minimization algorithms for robust face recognition
    • abs/1007.3753
    • A. Y. Yang, A. Ganesh, Z. Zhou, S. Sastry, and Y. Ma. A review of fast l1-minimization algorithms for robust face recognition. CoRR, abs/1007.3753, 2010.
    • (2010) CoRR
    • Yang, A.Y.1    Ganesh, A.2    Zhou, Z.3    Sastry, S.4    Ma, Y.5
  • 37
    • 84948772081 scopus 로고    scopus 로고
    • Real-time consensus-based scene reconstruction using commodity graphics hardware
    • Washington, DC, USA, IEEE Computer Society
    • R. Yang, G. Welch, and G. Bishop. Real-time consensus-based scene reconstruction using commodity graphics hardware. In Pacific Conf. on Comp. Graphics and Applications, PG '02, pages 225-, Washington, DC, USA, 2002. IEEE Computer Society.
    • (2002) Pacific Conf. on Comp. Graphics and Applications, PG '02 , pp. 225
    • Yang, R.1    Welch, G.2    Bishop, G.3
  • 38
    • 0038697968 scopus 로고    scopus 로고
    • A statistical explanation of visual space
    • June
    • Z. Yang and D. Purves. A statistical explanation of visual space. Nat Neurosci, 6(6):632-40, June 2003.
    • (2003) Nat Neurosci , vol.6 , Issue.6 , pp. 632-640
    • Yang, Z.1    Purves, D.2
  • 40
    • 84964467108 scopus 로고    scopus 로고
    • Rapid shape acquisition using color structured light and multi-pass dynamic programming
    • IEEE
    • L. Zhang, B. Curless, and S. Seitz. Rapid shape acquisition using color structured light and multi-pass dynamic programming. In 3DPVT, pages 24-36. IEEE, 2002.
    • (2002) 3DPVT , pp. 24-36
    • Zhang, L.1    Curless, B.2    Seitz, S.3


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