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Volumn 9907 LNCS, Issue , 2016, Pages 353-369

Depth map super-resolution by deep multi-scale guidance

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; OPTICAL RESOLVING POWER; SIGNAL SAMPLING;

EID: 84990058823     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46487-9_22     Document Type: Conference Paper
Times cited : (312)

References (34)
  • 2
    • 84863011482 scopus 로고    scopus 로고
    • High quality depth map upsampling for 3D-TOF cameras
    • Park, J., Kim, H., Tai, Y.W., Brown, M., Kweon, I.: High quality depth map upsampling for 3D-TOF cameras. In: ICCV, pp. 1623–1630 (2011)
    • (2011) ICCV , pp. 1623-1630
    • Park, J.1    Kim, H.2    Tai, Y.W.3    Brown, M.4    Kweon, I.5
  • 3
    • 84898803795 scopus 로고    scopus 로고
    • A joint intensity and depth co-sparse analysis model for depth map super-resolution
    • Kiechle, M., Hawe, S., Kleinsteuber, M.: A joint intensity and depth co-sparse analysis model for depth map super-resolution. In: ICCV, pp. 1545–1552 (2013)
    • (2013) ICCV , pp. 1545-1552
    • Kiechle, M.1    Hawe, S.2    Kleinsteuber, M.3
  • 4
    • 84898811204 scopus 로고    scopus 로고
    • Image guided depth upsampling using anisotropic total generalized variation
    • Ferstl, D., Reinbacher, C., Ranftl, R., Rüther, M., Bischof, H.: Image guided depth upsampling using anisotropic total generalized variation. In: ICCV, pp. 993–1000 (2013)
    • (2013) ICCV , pp. 993-1000
    • Ferstl, D.1    Reinbacher, C.2    Ranftl, R.3    Rüther, M.4    Bischof, H.5
  • 5
    • 85044282051 scopus 로고    scopus 로고
    • Color-guided depth recovery from RGB-D data using an adaptive autoregressive model
    • Yang, J., Ye, X., Li, K., Hou, C., Wang, Y.: Color-guided depth recovery from RGB-D data using an adaptive autoregressive model. TIP 23(8), 3962–3969 (2014)
    • (2014) TIP , vol.23 , Issue.8 , pp. 3962-3969
    • Yang, J.1    Ye, X.2    Li, K.3    Hou, C.4    Wang, Y.5
  • 6
    • 84959252278 scopus 로고    scopus 로고
    • Sparse depth super resolution
    • Lu, J., Forsyth, D.: Sparse depth super resolution. In: CVPR, pp. 2245–2253 (2015)
    • (2015) CVPR , pp. 2245-2253
    • Lu, J.1    Forsyth, D.2
  • 7
    • 84959233247 scopus 로고    scopus 로고
    • Data-driven depth map refinement via multi-scale sparse representation
    • Kwon, H., Tai, Y.W., Lin, S.: Data-driven depth map refinement via multi-scale sparse representation. In: CVPR, pp. 159–167 (2015)
    • (2015) CVPR , pp. 159-167
    • Kwon, H.1    Tai, Y.W.2    Lin, S.3
  • 8
    • 84882376954 scopus 로고    scopus 로고
    • Guided image filtering
    • He, K., Sun, J., Tang, X.: Guided image filtering. PAMI 35(6), 1397–1409 (2013)
    • (2013) PAMI , vol.35 , Issue.6 , pp. 1397-1409
    • He, K.1    Sun, J.2    Tang, X.3
  • 9
    • 84949926354 scopus 로고    scopus 로고
    • Depth enhancement using RGB-D guided filtering
    • Hui, T.W., Ngan, K.: Depth enhancement using RGB-D guided filtering. In: ICIP, pp. 3832–3836 (2014)
    • (2014) ICIP , pp. 3832-3836
    • Hui, T.W.1    Ngan, K.2
  • 10
    • 84973891560 scopus 로고    scopus 로고
    • Mutual-structure for joint filtering
    • Shen, X., Zhou, C., Xu, L., Jia, J.: Mutual-structure for joint filtering. In: ICCV, pp. 3406–3414 (2015)
    • (2015) ICCV , pp. 3406-3414
    • Shen, X.1    Zhou, C.2    Xu, L.3    Jia, J.4
  • 11
    • 84962128851 scopus 로고    scopus 로고
    • Image super-resolution using deep convolutional networks
    • Dong, C., Loy, C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. PAMI 38(2), 295–307 (2015)
    • (2015) PAMI , vol.38 , Issue.2 , pp. 295-307
    • Dong, C.1    Loy, C.2    He, K.3    Tang, X.4
  • 12
    • 84973897612 scopus 로고    scopus 로고
    • Deep networks for image superresolution with sparse prior
    • Wang, Z., Liu, D., Yang, J., Han, W., Huang, T.: Deep networks for image superresolution with sparse prior. In: ICCV, pp. 370–378 (2015)
    • (2015) ICCV , pp. 370-378
    • Wang, Z.1    Liu, D.2    Yang, J.3    Han, W.4    Huang, T.5
  • 13
    • 35148812651 scopus 로고    scopus 로고
    • Spatial-depth super resolution for range images
    • Yang, Q., Yang, R., Davis, J., Nistér, D.: Spatial-depth super resolution for range images. In: CVPR (2007)
    • (2007) CVPR
    • Yang, Q.1    Yang, R.2    Davis, J.3    Nistér, D.4
  • 14
    • 84887396529 scopus 로고    scopus 로고
    • Joint geodesic upsampling of depth images
    • Liu, M.Y., Tuzel, O., Taguchi, Y.: Joint geodesic upsampling of depth images. In: CVPR, pp. 169–176 (2013)
    • (2013) CVPR , pp. 169-176
    • Liu, M.Y.1    Tuzel, O.2    Taguchi, Y.3
  • 15
    • 84864038183 scopus 로고    scopus 로고
    • An application of Markov random fields to range sensing
    • Diebel, J., Thrun, S.: An application of Markov random fields to range sensing. In: NIPS (2005)
    • (2005) NIPS
    • Diebel, J.1    Thrun, S.2
  • 16
    • 84867882703 scopus 로고    scopus 로고
    • Patch based synthesis for single depth image super-resolution
    • Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.), Springer, Heidelberg
    • Mac Aodha, O., Campbell, N.D.F., Nair, A., Brostow, G.J.: Patch based synthesis for single depth image super-resolution. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7574, pp. 71–84. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33712-3_6
    • (2012) ECCV 2012. LNCS , vol.7574 , pp. 71-84
    • Mac Aodha, O.1    Campbell, N.D.F.2    Nair, A.3    Brostow, G.J.4
  • 17
    • 78049312324 scopus 로고    scopus 로고
    • Image super-resolution via sparse representation
    • Yang, J., Wright, J., Huang, T., Ma, Y.: Image super-resolution via sparse representation. TIP 11(9), 2861–2873 (2010)
    • (2010) TIP , vol.11 , Issue.9 , pp. 2861-2873
    • Yang, J.1    Wright, J.2    Huang, T.3    Ma, Y.4
  • 18
    • 84898792173 scopus 로고    scopus 로고
    • Anchored neighborhood regression for fast example-based super-resolution
    • Timofte, R., Smet, V.D., Gool, L.V.: Anchored neighborhood regression for fast example-based super-resolution. In: ICCV, pp. 1920–1927 (2013)
    • (2013) ICCV , pp. 1920-1927
    • Timofte, R.1    Smet, V.D.2    Gool, L.V.3
  • 19
    • 84973885022 scopus 로고    scopus 로고
    • Variational depth superresolution using example-based edge representations
    • Ferstl, D., Ruether, M., Bischof, H.: Variational depth superresolution using example-based edge representations. In: ICCV, pp. 513–521 (2015)
    • (2015) ICCV , pp. 513-521
    • Ferstl, D.1    Ruether, M.2    Bischof, H.3
  • 20
    • 84868137916 scopus 로고    scopus 로고
    • Joint example-based depth map super-resolution
    • Li, Y., Xue, T., Sun, L., Liu, J.: Joint example-based depth map super-resolution. In: ICME, pp. 152–157 (2012)
    • (2012) ICME , pp. 152-157
    • Li, Y.1    Xue, T.2    Sun, L.3    Liu, J.4
  • 21
    • 77956515664 scopus 로고    scopus 로고
    • Learning fast approximations of sparse coding
    • Gregor, K., LeCun, Y.: Learning fast approximations of sparse coding. In: ICML, pp. 399–406 (2010)
    • (2010) ICML , pp. 399-406
    • Gregor, K.1    Lecun, Y.2
  • 22
    • 84910002310 scopus 로고    scopus 로고
    • Image super-resolution with fast approximate convolutional sparse coding
    • Loo, C.K., Yap, K.S.,Wong, K.W., Beng Jin, A.T., Huang, K. (eds.), Springer, Heidelberg (2014)
    • Osendorfer, C., Soyer, H., Smagt, P.: Image super-resolution with fast approximate convolutional sparse coding. In: Loo, C.K., Yap, K.S.,Wong, K.W., Beng Jin, A.T., Huang, K. (eds.) ICONIP 2014. LNCS, vol. 8836, pp. 250–257. Springer, Heidelberg (2014). doi:10.1007/978-3-319-12643-2_31
    • ICONIP 2014. LNCS , vol.8836 , pp. 250-257
    • Osendorfer, C.1    Soyer, H.2    Smagt, P.3
  • 23
    • 84945230598 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR, pp. 3431–3440 (2015)
    • (2015) CVPR , pp. 3431-3440
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 24
    • 84959184995 scopus 로고    scopus 로고
    • Learning to generate chairs with convolutional neural networks
    • Dosovitskiy, A., Springenberg, J.T., Brox, T.: Learning to generate chairs with convolutional neural networks. In: CVPR, pp. 1538–1546 (2015)
    • (2015) CVPR , pp. 1538-1546
    • Dosovitskiy, A.1    Springenberg, J.T.2    Brox, T.3
  • 26
    • 84973859794 scopus 로고    scopus 로고
    • Holistically-nested edge detection
    • Xie, S., Tu, Z.: Holistically-nested edge detection. In: ICCV, pp. 1395–1403 (2015)
    • (2015) ICCV , pp. 1395-1403
    • Xie, S.1    Tu, Z.2
  • 27
    • 84911360907 scopus 로고    scopus 로고
    • Motion-depth: RGB-D depth map enhancement with motion and depth in complement
    • Hui, T.W., Ngan, K.: Motion-depth: RGB-D depth map enhancement with motion and depth in complement. In: CVPR, pp. 3962–3969 (2014)
    • (2014) CVPR , pp. 3962-3969
    • Hui, T.W.1    Ngan, K.2
  • 28
    • 84973911419 scopus 로고    scopus 로고
    • Delving deep into rectifiers: Surpassing humanlevel performance on imagenet classification
    • He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing humanlevel performance on imagenet classification. In: ICCV, pp. 1026–1034 (2015)
    • (2015) ICCV , pp. 1026-1034
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 29
    • 84867723178 scopus 로고    scopus 로고
    • A naturalistic open source movie for optical flow evaluation
    • Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.), Springer, Heidelberg (2012)
    • Butler, D.J., Wulff, J., Stanley, G.B., Black, M.J.: A naturalistic open source movie for optical flow evaluation. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7577, pp. 611–625. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33783-3_44
    • ECCV 2012. LNCS , vol.7577 , pp. 611-625
    • Butler, D.J.1    Wulff, J.2    Stanley, G.B.3    Black, M.J.4
  • 30
    • 0036537472 scopus 로고    scopus 로고
    • A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
    • Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV 47(1), 7–42 (2002)
    • (2002) IJCV , vol.47 , Issue.1 , pp. 7-42
    • Scharstein, D.1    Szeliski, R.2
  • 31
    • 34948831560 scopus 로고    scopus 로고
    • Learning conditional random fields for stereo
    • Scharstein, D., Pal, C.: Learning conditional random fields for stereo. In: CVPR (2007)
    • (2007) CVPR
    • Scharstein, D.1    Pal, C.2
  • 32
    • 84908693023 scopus 로고    scopus 로고
    • High-resolution stereo datasets with subpixel-accurate ground truth
    • Jiang, X., Hornegger, J., Koch, R. (eds.), Springer, Heidelberg (2014)
    • Scharstein, D., Hirschmüller, H., Kitajima, Y., Krathwohl, G., Nešić, N., Wang, X., Westling, P.: High-resolution stereo datasets with subpixel-accurate ground truth. In: Jiang, X., Hornegger, J., Koch, R. (eds.) GCPR 2014. LNCS, vol. 8753, pp. 31–42. Springer, Heidelberg (2014). doi:10.1007/978-3-319-11752-2_3
    • GCPR 2014. LNCS , vol.8753 , pp. 31-42
    • Scharstein, D.1    Hirschmüller, H.2    Kitajima, Y.3    Krathwohl, G.4    Nešić, N.5    Wang, X.6    Westling, P.7
  • 34
    • 84866659983 scopus 로고    scopus 로고
    • Cross-based local multipoint filtering
    • Lu, J., Shi, K., Min, D., Lin, L., Do, M.N.: Cross-based local multipoint filtering. In: CVPR, pp. 430–437 (2012)
    • (2012) CVPR , pp. 430-437
    • Lu, J.1    Shi, K.2    Min, D.3    Lin, L.4    Do, M.N.5


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