메뉴 건너뛰기




Volumn 37, Issue 8, 2015, Pages 1558-1570

Fast edge detection using structured forests

Author keywords

Edge detection; Real time systems; Segmentation; Structured random forests; Visual features

Indexed keywords

ALGORITHMS; COMPUTER VISION; DECISION TREES; IMAGE SEGMENTATION; INTERACTIVE COMPUTER SYSTEMS; INTERSECTIONS; OBJECT DETECTION; REAL TIME SYSTEMS;

EID: 84947781852     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2014.2377715     Document Type: Article
Times cited : (858)

References (50)
  • 3
    • 70350619001 scopus 로고    scopus 로고
    • Learning to localize objects with structured output regression
    • Marseilles, France
    • M. Blaschko and C. Lampert, "Learning to localize objects with structured output regression", presented at the European Conf. Computer Vision, Marseilles, France, 2008.
    • (2008) The European Conf. Computer Vision
    • Blaschko, M.1    Lampert, C.2
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Oct.
    • L. Breiman, "Random forests", Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001.
    • (2001) Mach. Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 0022808786 scopus 로고
    • A computational approach to edge detection
    • Nov.
    • J. Canny, "A computational approach to edge detection", IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986.
    • (1986) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-8 , Issue.6 , pp. 679-698
    • Canny, J.1
  • 9
    • 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., vol. 24, no. 5, pp. 603-619, May 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 11
    • 84859414659 scopus 로고    scopus 로고
    • Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
    • Feb.
    • A. Criminisi, J. Shotton, and E. Konukoglu, "Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning", Found. Trends Comput. Graph. Vis., vol. 7, no. 2/3, pp. 81-227, Feb. 2012.
    • (2012) Found. Trends Comput. Graph. Vis. , vol.7 , Issue.2-3 , pp. 81-227
    • Criminisi, A.1    Shotton, J.2    Konukoglu, E.3
  • 16
    • 9644254228 scopus 로고    scopus 로고
    • Efficient graph-based image segmentation
    • P. F. Felzenszwalb and D. P. Huttenlocher, "Efficient graph-based image segmentation", Int. J. Comput. Vis., vol. 59, no. 2, pp. 167-181, 2004.
    • (2004) Int. J. Comput. Vis. , vol.59 , Issue.2 , pp. 167-181
    • Felzenszwalb, P.F.1    Huttenlocher, D.P.2
  • 18
    • 0016520526 scopus 로고
    • On the quantitative evaluation of edge detection schemes and their comparison with human performance
    • Jun.
    • J. R. Fram and E. S. Deutsch, "On the quantitative evaluation of edge detection schemes and their comparison with human performance", IEEE Trans. Comput., vol. C-24, no. 6, pp. 616-628, Jun. 1975.
    • (1975) IEEE Trans. Comput. , vol.C-24 , Issue.6 , pp. 616-628
    • Fram, J.R.1    Deutsch, E.S.2
  • 20
    • 33646430006 scopus 로고    scopus 로고
    • Extremely randomized trees
    • Apr.
    • P. Geurts, D. Ernst, and L. Wehenkel, "Extremely randomized trees", Mach. Learn, vol. 63, no. 1, pp. 3-42, Apr. 2006.
    • (2006) Mach. Learn , vol.63 , Issue.1 , pp. 3-42
    • Geurts, P.1    Ernst, D.2    Wehenkel, L.3
  • 22
  • 23
    • 84898885062 scopus 로고    scopus 로고
    • Real-time texture boundary detection from ridges in the standard deviation space
    • R. Hidayat and R. Green, "Real-time texture boundary detection from ridges in the standard deviation space", in Proc. Brit. Mach. Vis. Conf., 2009, pp. 1-10.
    • (2009) Proc. Brit. Mach. Vis. Conf. , pp. 1-10
    • Hidayat, R.1    Green, R.2
  • 24
    • 0032139235 scopus 로고    scopus 로고
    • The random subspace method for constructing decision forests
    • Aug.
    • T. K. Ho, "The random subspace method for constructing decision forests", IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 8, pp. 832-844, Aug. 1998.
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell. , vol.20 , Issue.8 , pp. 832-844
    • Ho, T.K.1
  • 31
    • 84887354170 scopus 로고    scopus 로고
    • Sketch tokens: A learned midlevel representation for contour and object detection
    • J. Lim, C. L. Zitnick, and P. Dollar, "Sketch tokens: A learned midlevel representation for contour and object detection", in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2013, pp. 3158-3165.
    • (2013) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 3158-3165
    • Lim, J.1    Zitnick, C.L.2    Dollar, P.3
  • 32
    • 56749154082 scopus 로고    scopus 로고
    • Discriminative sparse image models for class-specific edge detection and image interpretation
    • J. Mairal, M. Leordeanu, F. Bach, M. Hebert, and J. Ponce, "Discriminative sparse image models for class-specific edge detection and image interpretation", in Proc. 10th Eur. Conf. Comput. Vis., 2008, pp. 43-56.
    • (2008) Proc. 10th Eur. Conf. Comput. Vis. , pp. 43-56
    • Mairal, J.1    Leordeanu, M.2    Bach, F.3    Hebert, M.4    Ponce, J.5
  • 33
    • 0035358181 scopus 로고    scopus 로고
    • Contour and texture analysis for image segmentation
    • J. Malik, S. Belongie, T. Leung, and J. Shi, "Contour and texture analysis for image segmentation", Int. J. Comput. Vis., vol. 43, pp. 7-27, 2001.
    • (2001) Int. J. Comput. Vis. , vol.43 , pp. 7-27
    • Malik, J.1    Belongie, S.2    Leung, T.3    Shi, J.4
  • 34
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • May
    • D. Martin, C. Fowlkes, and J. Malik, "Learning to detect natural image boundaries using local brightness, color, and texture cues", IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 5, pp. 530-549, May 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.5 , pp. 530-549
    • Martin, D.1    Fowlkes, C.2    Malik, J.3
  • 35
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • D. Martin, C. Fowlkes, D. Tal, and J. Malik, "A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics", in Proc. IEEE 8th Int. Conf. Comput. Vis., 2001, pp. 416-423.
    • (2001) Proc. IEEE 8th Int. Conf. Comput. Vis. , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 36
    • 79957812632 scopus 로고    scopus 로고
    • Structured learning and prediction in computer vision
    • S. Nowozin and C. H. Lampert, "Structured learning and prediction in computer vision", Found. Trends Comput. Graph. Vis., vol. 6, pp. 185-365, 2011.
    • (2011) Found. Trends Comput. Graph. Vis. , vol.6 , pp. 185-365
    • Nowozin, S.1    Lampert, C.H.2
  • 37
    • 0025465145 scopus 로고
    • Scale-space and edge detection using anisotropic diffusion
    • Jul.
    • P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion", IEEE Trans. Pattern Anal. Mach. Intell., vol. 12, no. 7, pp. 629-639, Jul. 1990.
    • (1990) IEEE Trans. Pattern Anal. Mach. Intell. , vol.12 , Issue.7 , pp. 629-639
    • Perona, P.1    Malik, J.2
  • 38
    • 56749170358 scopus 로고    scopus 로고
    • Multi-scale improves boundary detection in natural images
    • X. Ren, "Multi-scale improves boundary detection in natural images", in Proc. Int. Conf. Comput. Vis., 2008, pp. 533-545.
    • (2008) Proc. Int. Conf. Comput. Vis. , pp. 533-545
    • Ren, X.1
  • 41
    • 84877752264 scopus 로고    scopus 로고
    • Discriminatively trained sparse code gradients for contour detection
    • X. Ren and B. Liefeng, "Discriminatively trained sparse code gradients for contour detection", in Proc. Adv. Neural Inf. Process. Syst., 2012, pp. 593-601.
    • (2012) Proc. Adv. Neural Inf. Process. Syst. , pp. 593-601
    • Ren, X.1    Liefeng, B.2
  • 43
    • 0017531865 scopus 로고
    • Color edge detection
    • G. S. Robinson, "Color edge detection", Opt. Eng., vol. 16, no. 5, 1977.
    • (1977) Opt. Eng. , vol.16 , Issue.5
    • Robinson, G.S.1
  • 47
    • 0026240594 scopus 로고
    • Recognition by linear combinations of models
    • Oct.
    • S. Ullman and R. Basri, "Recognition by linear combinations of models", IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 10, pp. 992-1006, Oct. 1991.
    • (1991) IEEE Trans. Pattern Anal. Mach. Intell. , vol.13 , Issue.10 , pp. 992-1006
    • Ullman, S.1    Basri, R.2
  • 49
  • 50
    • 0000864708 scopus 로고    scopus 로고
    • Edge detection techniques-an overview
    • D. Ziou and S. Tabbone, "Edge detection techniques-an overview", Pattern Recog. Image Anal., vol. 8, pp. 537-559, 1998.
    • (1998) Pattern Recog. Image Anal. , vol.8 , pp. 537-559
    • Ziou, D.1    Tabbone, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.