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Volumn 9911 LNCS, Issue , 2016, Pages 101-117

Guided matching based on statistical optical flow for fast and robust correspondence analysis

Author keywords

Correspondence analysis; Ground truth for feature matching; Guided matching; Image matching; Statistical optical flow

Indexed keywords

IMAGE MATCHING; STATISTICS;

EID: 84990053189     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46478-7_7     Document Type: Conference Paper
Times cited : (36)

References (44)
  • 1
    • 33745824633 scopus 로고    scopus 로고
    • Machine learning for high-speed corner detection
    • Leonardis, A., Bischof, H., Pinz, A. (eds.), Springer, Heidelberg
    • Rosten, E., Drummond, T.: Machine learning for high-speed corner detection. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 430-443. Springer, Heidelberg (2006) .doi:10.1007/11744023_34
    • (2006) ECCV 2006. LNCS , vol.3951 , pp. 430-443
    • Rosten, E.1    Drummond, T.2
  • 2
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91-110 (2004)
    • (2004) Int. J. Comput. Vis , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 8
    • 84906339516 scopus 로고    scopus 로고
    • Scalable nearest neighbor algorithms for high dimensional data
    • Muja, M., Lowe, D.G.: Scalable nearest neighbor algorithms for high dimensional data. IEEE Trans. Pattern Anal. Mach. Intell. 36(11), 2227-2240 (2014)
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell , vol.36 , Issue.11 , pp. 2227-2240
    • Muja, M.1    Lowe, D.G.2
  • 11
    • 68749093187 scopus 로고    scopus 로고
    • An optimized softwarebased implementation of a census-based stereo matching algorithm
    • Bebis, G., et al. (eds.), Springer, Heidelberg
    • Zinner, C., Humenberger M., Ambrosch, K., Kubinger W.: An optimized softwarebased implementation of a census-based stereo matching algorithm. In: Bebis, G., et al. (eds.) ISVC 2008. LNCS, vol. 5358, pp. 216-227. Springer, Heidelberg (2008) .doi:10.1007/978-3-540-89639-5_21
    • (2008) ISVC 2008. LNCS , vol.5358 , pp. 216-227
    • Zinner, C.1    Humenberger, M.2    Ambrosch, K.3    Kubinger, W.4
  • 16
    • 84946558242 scopus 로고    scopus 로고
    • Robust image feature point matching based on structural distance
    • Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds.), Springer, Heidelberg
    • Hu, M., Liu, Y., Fan, Y.: Robust image feature point matching based on structural distance. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds.) IGTA 2015. CCIS, vol. 525, pp. 142-149. Springer, Heidelberg (2015) .doi:10.1007/978-3-662-47791-5_17
    • (2015) IGTA 2015. CCIS , vol.525 , pp. 142-149
    • Hu, M.1    Liu, Y.2    Fan, Y.3
  • 19
    • 84960495543 scopus 로고    scopus 로고
    • Co-segmentation guided hough transform for robust feature matching
    • Chen, H.Y., Lin, Y.Y., Chen, B.Y.: Co-segmentation guided hough transform for robust feature matching. IEEE Trans. Pattern Anal. Mach. Intell. 37(12), 2388- 2401 (2015)
    • (2015) IEEE Trans. Pattern Anal. Mach. Intell , vol.37 , Issue.12
    • Chen, H.Y.1    Lin, Y.Y.2    Chen, B.Y.3
  • 21
    • 84880224888 scopus 로고    scopus 로고
    • A fast and accurate feature-matching algorithm for minimally-invasive endoscopic images
    • Puerto-Souza, G.A., Mariottini, G.L.: A fast and accurate feature-matching algorithm for minimally-invasive endoscopic images. IEEE Trans. Med. Imaging 32(7), 1201-1214 (2013)
    • (2013) IEEE Trans. Med. Imaging , vol.32 , Issue.7 , pp. 1201-1214
    • Puerto-Souza, G.A.1    Mariottini, G.L.2
  • 24
    • 84856963492 scopus 로고    scopus 로고
    • Multilevel SIFT matching for large-size VHR image registration
    • Huo, C., Pan, C., Huo, L., Zhou, Z.: Multilevel SIFT matching for large-size VHR image registration. IEEE Geosci. Remote Sens. Lett. 9(2), 171-175 (2012)
    • (2012) IEEE Geosci. Remote Sens. Lett , vol.9 , Issue.2 , pp. 171-175
    • Huo, C.1    Pan, C.2    Huo, L.3    Zhou, Z.4
  • 26
    • 84940605935 scopus 로고    scopus 로고
    • Triangle: Engineering a 2D quality mesh generator and Delaunay triangulator
    • Lin, M.C., Manocha, D. (eds.), Springer, Heidelberg
    • Shewchuk, J.R.: Triangle: engineering a 2D quality mesh generator and Delaunay triangulator. In: Lin, M.C., Manocha, D. (eds.) WACG 1996. LNCS, vol. 1148, pp. 203-222. Springer, Heidelberg (1996) .doi:10.1007/BFb0014497
    • (1996) WACG 1996. LNCS , vol.1148 , pp. 203-222
    • Shewchuk, J.R.1
  • 28
    • 84921857436 scopus 로고    scopus 로고
    • Point sets matching by feature-aware mixture point matching algorithm
    • Tai, X.-C., Bae, E., Chan, T.F., Lysaker, M. (eds.), Springer, Heidelberg
    • Sun, K., Li, P., Tao, W., Liu, L.: Point sets matching by feature-aware mixture point matching algorithm. In: Tai, X.-C., Bae, E., Chan, T.F., Lysaker, M. (eds.) EMMCVPR 2015. LNCS, vol. 8932, pp. 392-405. Springer, Heidelberg (2015) .doi:10.1007/978-3-319-14612-6_29
    • (2015) EMMCVPR 2015. LNCS , vol.8932 , pp. 392-405
    • Sun, K.1    Li, P.2    Tao, W.3    Liu, L.4
  • 30
  • 31
    • 85027932133 scopus 로고    scopus 로고
    • Robust feature matching for remote sensing image registration via locally linear transforming
    • Ma, J., Zhou, H., Zhao, J., Gao, Y., Jiang, J., Tian, J.: Robust feature matching for remote sensing image registration via locally linear transforming. IEEE Trans. Geosci. Remote Sens. 53(12), 6469-6481 (2015)
    • (2015) IEEE Trans. Geosci. Remote Sens , vol.53 , Issue.12 , pp. 6469-6481
    • Ma, J.1    Zhou, H.2    Zhao, J.3    Gao, Y.4    Jiang, J.5    Tian, J.6
  • 32
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc. 39(B), 1-38 (1977)
    • (1977) J. Royal Stat. Soc , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 33
    • 84915747672 scopus 로고    scopus 로고
    • Image feature matching via progressive vector field consensus
    • Ma, J., Ma, Y., Zhao, J., Tian, J.: Image feature matching via progressive vector field consensus. IEEE Sig. Process. Lett. 22(6), 767-771 (2015)
    • (2015) IEEE Sig. Process. Lett , vol.22 , Issue.6 , pp. 767-771
    • Ma, J.1    Ma, Y.2    Zhao, J.3    Tian, J.4
  • 34
    • 84922569289 scopus 로고    scopus 로고
    • Robust L2E estimation of transformation for non-rigid registration
    • Ma, J., Qiu, W., Zhao, J., Ma, Y., Yuille, A.L., Tu, Z.: Robust L2E estimation of transformation for non-rigid registration. IEEE Trans. Signal Process. 63(5), 1115-1129 (2015)
    • (2015) IEEE Trans. Signal Process , vol.63 , Issue.5 , pp. 1115-1129
    • Ma, J.1    Qiu, W.2    Zhao, J.3    Ma, Y.4    Yuille, A.L.5    Tu, Z.6
  • 35
    • 84906506066 scopus 로고    scopus 로고
    • Bilateral functions for global motion modeling
    • Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
    • Lin, W.-Y.D., Cheng, M.-M., Lu, J., Yang, H., Do, M.N., Torr, P.: Bilateral functions for global motion modeling. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8692, pp. 341-356. Springer, Heidelberg (2014) .doi:10.1007/978-3-319-10593-2_23
    • (2014) ECCV 2014. LNCS , vol.8692 , pp. 341-356
    • Lin, W.-Y.D.1    Cheng, M.-M.2    Lu, J.3    Yang, H.4    Do, M.N.5    Torr, P.6
  • 36
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381-395 (1981)
    • (1981) Commun. ACM , vol.24 , Issue.6 , pp. 381-395
    • Fischler, M.A.1    Bolles, R.C.2
  • 37
    • 0033894631 scopus 로고    scopus 로고
    • MLESAC: A new robust estimator with application to estimating image geometry
    • Torr, P.H.S., Zisserman, A.: MLESAC: a new robust estimator with application to estimating image geometry. Comput. Vis. Image Underst. 78(1), 138-156 (2000)
    • (2000) Comput. Vis. Image Underst , vol.78 , Issue.1 , pp. 138-156
    • Torr, P.H.S.1    Zisserman, A.2
  • 38
    • 33745175816 scopus 로고    scopus 로고
    • Locally optimized RANSAC
    • Michaelis, B., Krell, G. (eds.), Springer, Heidelberg
    • Chum, O., Matas, J., Kittler, J.: Locally optimized RANSAC. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol. 2781, pp. 236-243. Springer, Heidelberg (2003) .doi:10.1007/978-3-540-45243-031
    • (2003) DAGM 2003. LNCS , vol.2781 , pp. 236-243
    • Chum, O.1    Matas, J.2    Kittler, J.3
  • 41
    • 57149134890 scopus 로고    scopus 로고
    • A comparative analysis of RANSAC techniques leading to adaptive real-time random sample consensus
    • Forsyth, D., Torr, P., Zisserman, A. (eds.), Springer, Heidelberg
    • Raguram, R., Frahm, J.-M., Pollefeys, M.: A comparative analysis of RANSAC techniques leading to adaptive real-time random sample consensus. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5303, pp. 500-513. Springer, Heidelberg (2008) .doi:10.1007/978-3-540-88688-4_37
    • (2008) ECCV 2008. LNCS , vol.5303 , pp. 500-513
    • Raguram, R.1    Frahm, J.-M.2    Pollefeys, M.3
  • 44
    • 37549058056 scopus 로고    scopus 로고
    • Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
    • Andoni, A., Indyk, P.: Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Commun. ACM 51(1), 117-122 (2008)
    • (2008) Commun. ACM , vol.51 , Issue.1 , pp. 117-122
    • Andoni, A.1    Indyk, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.