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Volumn 20, Issue 4, 2011, Pages 921-934

Dictionary learning for stereo image representation

Author keywords

Dictionary learning; multi view imaging; omni directional cameras; sparse approximations

Indexed keywords

CAMERA POSE ESTIMATION; DICTIONARY LEARNING; EXPECTATION-MAXIMIZATION ALGORITHMS; FEATURE MATCHING; GEOMETRIC STRUCTURE; GEOMETRIC TRANSFORM; INTRINSIC GEOMETRY; MAXIMUM LIKELIHOOD METHODS; MULTI-VIEW GEOMETRY; MULTI-VIEW IMAGING; MULTI-VIEWS; OBJECTIVE FUNCTIONS; OMNIDIRECTIONAL CAMERAS; OMNIDIRECTIONAL IMAGE; OVER-COMPLETE; OVERCOMPLETE DICTIONARIES; PROBABILISTIC MODELS; SCENE REPRESENTATION; SPARSE APPROXIMATIONS; SPARSE IMAGE REPRESENTATIONS; STEREO VIEW; STEREO-IMAGE; VISUAL INFORMATION;

EID: 79952917189     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2081679     Document Type: Article
Times cited : (21)

References (37)
  • 2
    • 57649107324 scopus 로고    scopus 로고
    • Factoring repeated content within and among images
    • H.Wang, Y.Wexler, E. Ofek, and H. Hoppe, "Factoring repeated content within and among images," Proc. ACM SIGGRAPH, pp. 1-10, 2008.
    • (2008) Proc. ACM SIGGRAPH , pp. 1-10
    • Wang, H.1    Wexler, Y.2    Ofek, E.3    Hoppe, H.4
  • 3
    • 45949109038 scopus 로고    scopus 로고
    • Geometry-based distributed scene representation with omnidirectional vision sensors
    • Jul.
    • I. Tošić and P. Frossard, "Geometry-based distributed scene representation with omnidirectional vision sensors," IEEE Trans. Image Process., vol. 17, no. 7, pp. 1033-1046, Jul. 2008.
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.7 , pp. 1033-1046
    • Tošić, I.1    Frossard, P.2
  • 4
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by V1?
    • DOI 10.1016/S0042-6989(97)00169-7, PII S0042698997001697
    • B. A. Olshausen and D. Field, "Sparse coding with an overcomplete basis set: A strategy employed by V1?," Vis. Res., vol. 23, no. 37, pp. 3311-25, 1997. (Pubitemid 27493805)
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 6
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
    • DOI 10.1109/TSP.2006.881199
    • M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Trans. Signal Process., vol. 54, no. 11, pp. 4311-4322, Nov. 2006. (Pubitemid 44637761)
    • (2006) IEEE Transactions on Signal Processing , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 7
    • 0345529041 scopus 로고    scopus 로고
    • Learning sparse, overcomplete representations of time-varying natural images
    • B. A. Olshausen, "Learning sparse, overcomplete representations of time-varying natural images," in Proc. IEEE Int. Conf. Image Process., 2003.
    • (2003) Proc. IEEE Int. Conf. Image Process.
    • Olshausen, B.A.1
  • 9
    • 70349146040 scopus 로고    scopus 로고
    • Learning transformational invariants from time-varying natural images
    • C. Cadieu and B. A. Olshausen, "Learning transformational invariants from time-varying natural images," in Proc. Conf. Neural Inf. Process. Syst., 2008, pp. 209-216.
    • (2008) Proc. Conf. Neural Inf. Process. Syst. , pp. 209-216
    • Cadieu, C.1    Olshausen, B.A.2
  • 10
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • DOI 10.1038/381607a0
    • B. A. Olshausen and D. J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, no. 6583, pp. 607-609, 1996. (Pubitemid 26177476)
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 13
    • 0031102203 scopus 로고    scopus 로고
    • Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm
    • I. Gorodnitsky and B. Rao, "Sparse signal reconstruction from limited data using FOCUSS: A Re-weighted minimum norm algorithm," IEEE Trans. Signal Process., vol. 45, no. 3, pp. 600-616, Mar. 1997. (Pubitemid 127765947)
    • (1997) IEEE Transactions on Signal Processing , vol.45 , Issue.3 , pp. 600-616
    • Gorodnitsky, I.F.1    Rao, B.D.2
  • 14
    • 2942694091 scopus 로고    scopus 로고
    • Dictionary design for matching pursuit and application to motion-compensated video coding
    • Jun.
    • P. Schmid-Saugeon and A. Zakhor, "Dictionary design for matching pursuit and application to motion-compensated video coding," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 6, pp. 880-886, Jun. 2004.
    • (2004) IEEE Trans. Circuits Syst. Video Technol. , vol.14 , Issue.6 , pp. 880-886
    • Schmid-Saugeon, P.1    Zakhor, A.2
  • 15
    • 0347968052 scopus 로고    scopus 로고
    • Sparse representations in unions of bases
    • R. Gribonval and M. Nielsen, "Sparse representations in unions of bases," IEEE Trans. Inf. Theory, vol. 49, pp. 3320-3325, 2003.
    • (2003) IEEE Trans. Inf. Theory , vol.49 , pp. 3320-3325
    • Gribonval, R.1    Nielsen, M.2
  • 17
    • 37849188832 scopus 로고    scopus 로고
    • Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation
    • DOI 10.1016/j.dsp.2006.02.002, PII S105120040600025X
    • K. Engan, K. Skretting, and J. Husřy, "Family of iterative LS-based dictionary learning algorithms, ILS-DLA, for sparse signal representation," Digital Signal Process., vol. 17, no. 1, pp. 32-49, 2007. (Pubitemid 44828547)
    • (2007) Digital Signal Processing: A Review Journal , vol.17 , Issue.1 , pp. 32-49
    • Engan, K.1    Skretting, K.2    Husoy, J.H.3
  • 18
    • 72149118713 scopus 로고    scopus 로고
    • Learning bimodal structure in audio-visual data
    • Dec.
    • G. Monaci, F. Sommer, and P. Vandergheynst, "Learning bimodal structure in audio-visual data," IEEE Trans. Neural Netw., vol. 20, no. 12, pp. 1898-1910, Dec. 2009.
    • (2009) IEEE Trans. Neural Netw. , vol.20 , Issue.12 , pp. 1898-1910
    • Monaci, G.1    Sommer, F.2    Vandergheynst, P.3
  • 19
    • 0041849740 scopus 로고    scopus 로고
    • Independent component analysis applied to feature extraction from colour and stereo images
    • P. Hoyer and A. Hyvärinen, "Independent component analysis applied to feature extraction from colour and stereo images," Netw.: Comput. Neural Syst., vol. 11, no. 3, pp. 191-210, 2000.
    • (2000) Netw.: Comput. Neural Syst. , vol.11 , Issue.3 , pp. 191-210
    • Hoyer, P.1    Hyvärinen, A.2
  • 20
    • 4143105743 scopus 로고    scopus 로고
    • Binocular disparity encoding cells generated through an Infomax based learning algorithm
    • DOI 10.1016/j.neunet.2004.02.004, PII S0893608004000486
    • K. Okajima, "Binocular disparity encoding cells generated through an Infomax based learning algorithm," Neural Netw., vol. 17, no. 7, pp. 953-962, 2004. (Pubitemid 39093815)
    • (2004) Neural Networks , vol.17 , Issue.7 , pp. 953-962
    • Okajima, K.1
  • 21
    • 84863766391 scopus 로고    scopus 로고
    • Coarse scene geometry estimation from sparse approximations of multi-view omnidirectional images
    • I. Tošić and P. Frossard, "Coarse scene geometry estimation from sparse approximations of multi-view omnidirectional images," in Proc. Eur. Signal Process. Conf., 2007.
    • (2007) Proc. Eur. Signal Process. Conf.
    • Tošić, I.1    Frossard, P.2
  • 22
    • 70449469716 scopus 로고    scopus 로고
    • Conditions for recovery of sparse signals correlated by local transforms
    • I. Tošić and P. Frossard, "Conditions for recovery of sparse signals correlated by local transforms," in Proc. IEEE Int. Symp. Inf. Theory, 2009, pp. 684-688.
    • (2009) Proc. IEEE Int. Symp. Inf. Theory , pp. 684-688
    • Tošić, I.1    Frossard, P.2
  • 23
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Stat. Soc., vol. 39, no. 1, pp. 1-38, 1977.
    • (1977) J. Royal Stat. Soc. , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 24
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • M. I. Jordan, Ed. New York: Kluwer
    • R. M. Neal and G. E. Hinton, "A view of the EM algorithm that justifies incremental, sparse, and other variants," in Learning in Graphical Models, M. I. Jordan, Ed. New York: Kluwer, 1998, pp. 355-368.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.M.1    Hinton, G.E.2
  • 26
    • 0027842081 scopus 로고
    • Matching pursuits with time-frequency dictionaries
    • Dec.
    • S. G. Mallat and Z. Zhang, "Matching pursuits with time-frequency dictionaries," IEEE Trans. Signal Process., vol. 41, no. 12, pp. 3397-3415, Dec. 1993.
    • (1993) IEEE Trans. Signal Process. , vol.41 , Issue.12 , pp. 3397-3415
    • Mallat, S.G.1    Zhang, Z.2
  • 27
    • 32944466885 scopus 로고    scopus 로고
    • Low-rate and flexible image coding with redundant representations
    • DOI 10.1109/TIP.2005.860596
    • I. V. R. M. Figueras, P. Vandergheynst, and P. Frossard, "Low rate and flexible image coding with redundant representations," IEEE Trans. Image Process., vol. 15, no. 3, pp. 726-739, Mar. 2006. (Pubitemid 43257570)
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.3 , pp. 726-739
    • Figueras i Ventura, R.M.1    Vandergheynst, P.2    Frossard, P.3
  • 29
    • 22844454658 scopus 로고    scopus 로고
    • Weak greedy algorithms
    • V. N. Temlyakov, "Weak greedy algorithms," Adv. Computat. Math., vol. 12, no. 2-3, pp. 213-227, 2000.
    • (2000) Adv. Computat. Math. , vol.12 , Issue.2-3 , pp. 213-227
    • Temlyakov, V.N.1
  • 31
    • 33751531824 scopus 로고    scopus 로고
    • Progressive coding of 3-D objects based on overcomplete decompositions
    • Nov.
    • I. Tošić, P. Frossard, and P. Vandergheynst, "Progressive coding of 3-D objects based on overcomplete decompositions," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 11, pp. 1338-1349, Nov. 2006.
    • (2006) IEEE Trans. Circuits Syst. Video Technol. , vol.16 , Issue.11 , pp. 1338-1349
    • Tošić, I.1    Frossard, P.2    Vandergheynst, P.3
  • 32
    • 69949126870 scopus 로고    scopus 로고
    • Geometry-based distributed coding of multi-view omnidirectional images
    • I. Tošić and P. Frossard, "Geometry-based distributed coding of multi-view omnidirectional images," in Proc. IEEE ICIP, 2008, pp. 2220-2223.
    • (2008) Proc. IEEE ICIP , pp. 2220-2223
    • Tošić, I.1    Frossard, P.2
  • 33
    • 79952954675 scopus 로고    scopus 로고
    • Wyner-Ziv coding of multiview images with unsupervised learning of disparity and gray code
    • D. Varodayan, Y.-C. Liu, M. Flierl, and B. Girod, "Wyner-Ziv coding of multiview images with unsupervised learning of disparity and gray code," in Proc. Picture Coding Symp., 2007, pp. 1112-1115.
    • (2007) Proc. Picture Coding Symp. , pp. 1112-1115
    • Varodayan, D.1    Liu, Y.-C.2    Flierl, M.3    Girod, B.4
  • 35
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • DOI 10.1145/358669.358692
    • M. Fischler and R. Bolles, "Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography," Commun. ACM, vol. 24, no. 6, pp. 381-395, 1981. (Pubitemid 12444102)
    • (1981) Communications of the ACM , vol.24 , Issue.6 , pp. 381-395
    • Fischler Martin, A.1    Bolles Robert, C.2
  • 36
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
    • (2004) Int. J. Comput. Vis. , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 37
    • 10044298178 scopus 로고    scopus 로고
    • Global localization and relative pose estimation based on scale-invariant features
    • J. Koseckà and X. Yang, "Global localization and relative pose estimation based on scale-invariant features," in Proc. Int. Conf. Pattern Recognit., 2004, pp. 319-322.
    • (2004) Proc. Int. Conf. Pattern Recognit. , pp. 319-322
    • Koseckà, J.1    Yang, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.