메뉴 건너뛰기




Volumn 12, Issue 13, 2012, Pages

Detecting natural occlusion boundaries using local cues

Author keywords

Edge detection; Natural images; Neural networks; Occlusions; Psychophysics

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSOCIATION; COMPARATIVE STUDY; HUMAN; METHODOLOGY; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOPHYSICS;

EID: 84878344898     PISSN: None     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/12.13.15     Document Type: Article
Times cited : (15)

References (69)
  • 1
    • 0018466808 scopus 로고
    • Quantitative design and evaluation of enhancement/thresholding edge detectors
    • Abdou, I., & Pratt, W. (1979). Quantitative design and evaluation of enhancement/thresholding edge detectors. Proceedings of the IEEE, 67, 753-763.
    • (1979) Proceedings of the IEEE , vol.67 , pp. 753-763
    • Abdou, I.1    Pratt, W.2
  • 3
    • 80054708209 scopus 로고    scopus 로고
    • Higher-order texture statistics impair contrast boundary segmentation
    • doi:10.1167/11.10.14. [PubMed] [Article]
    • Arsenault, E., Yoonessi, A., & Baker, C. L. (2011). Higher-order texture statistics impair contrast boundary segmentation. Journal of Vision, 11(10): 14, 1-15, http://www.journalofvision.org/content/11/10/14, doi:10.1167/11.10.14. [PubMed] [Article]
    • (2011) Journal of Vision , vol.11 , Issue.10-14 , pp. 1-15
    • Arsenault, E.1    Yoonessi, A.2    Baker, C.L.3
  • 4
    • 33745259487 scopus 로고    scopus 로고
    • High frequency edges (but not contrast) predict where we fixate: A Bayesian system identification analysis
    • Baddeley, R. J., & Tatler, B. W. (2006). High frequency edges (but not contrast) predict where we fixate: A Bayesian system identification analysis. Vision Research, 46, 2824-2833.
    • (2006) Vision Research , vol.46 , pp. 2824-2833
    • Baddeley, R.J.1    Tatler, B.W.2
  • 5
    • 0035783242 scopus 로고    scopus 로고
    • Processing of second-order stimuli in the visual cortex
    • Baker, C. L., & Mareschal, I. (2001). Processing of second-order stimuli in the visual cortex. Progress in Brain Research, 134, 1-21.
    • (2001) Progress in Brain Research , vol.134 , pp. 1-21
    • Baker, C.L.1    Mareschal, I.2
  • 6
    • 0033860485 scopus 로고    scopus 로고
    • Occlusionsand their relationship with the distribution of contrasts in natural images
    • Balboa, R. M., & Grzywacz, N. M. (2000). Occlusionsand their relationship with the distribution of contrasts in natural images. Vision Research, 40, 2661-2669.
    • (2000) Vision Research , vol.40 , pp. 2661-2669
    • Balboa, R.M.1    Grzywacz, N.M.2
  • 7
    • 0030832881 scopus 로고    scopus 로고
    • The 'independent components' of natural scenes are edge filters
    • Bell, A. J., & Sejnowski, T. J. (1997). The 'independent components' of natural scenes are edge filters. Vision Research, 37, 3327-3338.
    • (1997) Vision Research , vol.37 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 10
    • 84861163812 scopus 로고    scopus 로고
    • Learning intermediate-level representations of form and motion from natural movies
    • Cadieu, C., & Olshausen, B. A. (2012). Learning intermediate-level representations of form and motion from natural movies. Neural Computation, 24, 827-866.
    • (2012) Neural Computation , vol.24 , pp. 827-866
    • Cadieu, C.1    Olshausen, B.A.2
  • 11
    • 2442491808 scopus 로고    scopus 로고
    • Independent components of color natural scenes resemble v1 neurons in their spatial and color tuning
    • Caywood, M. S., Willmore, B., & Tolhurst, D. J. (2004). Independent components of color natural scenes resemble v1 neurons in their spatial and color tuning. Journal of Neurophysiology, 91, 2859-2873.
    • (2004) Journal of Neurophysiology , vol.91 , pp. 2859-2873
    • Caywood, M.S.1    Willmore, B.2    Tolhurst, D.J.3
  • 14
    • 0022098435 scopus 로고
    • Uncertainty relation for resolution in space, spatial frequency and orientation optimized by two-dimensional visual cortical filters
    • Daugman, J. G. (1985). Uncertainty relation for resolution in space, spatial frequency and orientation optimized by two-dimensional visual cortical filters. Journal of the Optical Society of America A, 2, 1160-1169.
    • (1985) Journal of the Optical Society of America A , vol.2 , pp. 1160-1169
    • Daugman, J.G.1
  • 15
    • 0037313125 scopus 로고    scopus 로고
    • Spatiochromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes
    • Doi, E., Inui, T., Lee, T. W., Wachtler, T., & Sejnowski, T. J. (2003). Spatiochromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes. Neural Computation, 15, 397-417.
    • (2003) Neural Computation , vol.15 , pp. 397-417
    • Doi, E.1    Inui, T.2    Lee, T.W.3    Wachtler, T.4    Sejnowski, T.J.5
  • 18
    • 0023492118 scopus 로고
    • Relations between the statistics of natural images and the response properties of cortical cells
    • Field, D. J. (1987). Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A, 4, 2379-2394.
    • (1987) Journal of the Optical Society of America A , vol.4 , pp. 2379-2394
    • Field, D.J.1
  • 19
    • 0042575613 scopus 로고    scopus 로고
    • Surface segmentation based on the luminance and color statistics of natural scenes
    • Fine, I., MacLeod, D. I. A., & Boynton, G. M. (2003). Surface segmentation based on the luminance and color statistics of natural scenes. Journal of the Optical Society of America A, 20, 1283-1291.
    • (2003) Journal of the Optical Society of America A , vol.20 , pp. 1283-1291
    • Fine, I.1    MacLeod, D.I.A.2    Boynton, G.M.3
  • 20
    • 34250188094 scopus 로고    scopus 로고
    • Local figure-ground cues are valid for natural images
    • doi:10.1167/7.8.2. [PubMed] [Article]
    • Fowlkes, C. C.,Martin, D. R., &Malik, J. (2007). Local figure-ground cues are valid for natural images. Journal of Vision, 7(8):2, 1-9, http://www.journalofvision.org/content/7/8/2, doi:10.1167/7.8.2. [PubMed] [Article]
    • (2007) Journal of Vision , vol.7 , Issue.2-8 , pp. 1-9
    • Fowlkes, C.C.1    Martin, D.R.2    Malik, J.3
  • 21
    • 0035281850 scopus 로고    scopus 로고
    • Edge co-occurrence in natural images predicts contour grouping performance
    • Geisler, W. S., Perry, J. S., Super, B. J., & Gallogly, D. P. (2001). Edge co-occurrence in natural images predicts contour grouping performance. Vision Research, 41, 711-724.
    • (2001) Vision Research , vol.41 , pp. 711-724
    • Geisler, W.S.1    Perry, J.S.2    Super, B.J.3    Gallogly, D.P.4
  • 22
    • 0029204225 scopus 로고
    • An efficient cost scaling algorithm for the assignment problem
    • Goldberg, A. V., & Kennedy, R. (1995). An efficient cost scaling algorithm for the assignment problem. Mathematical Programming, 71, 153-177.
    • (1995) Mathematical Programming , vol.71 , pp. 153-177
    • Goldberg, A.V.1    Kennedy, R.2
  • 23
    • 84878356156 scopus 로고
    • Complex channels, early local nonlinearities and normalization in texture segregation
    • Cambridge, MA: MIT Press
    • Graham, N. (1991). Complex channels, early local nonlinearities and normalization in texture segregation. In M. S. Landy & J. A. Movshon (Eds.), Computational models of visual processing, pp. 274-290. Cambridge, MA: MIT Press.
    • (1991) In M. S. Landy & J. A. Movshon (Eds.), Computational models of visual processing , pp. 274-290
    • Graham, N.1
  • 24
    • 0031986314 scopus 로고    scopus 로고
    • Spatial summation in simple (Fourier) and complex (non-Fourier) texture channels
    • Graham, N., & Sutter, A. (1998). Spatial summation in simple (Fourier) and complex (non-Fourier) texture channels. Vision Research, 38, 231-257.
    • (1998) Vision Research , vol.38 , pp. 231-257
    • Graham, N.1    Sutter, A.2
  • 29
    • 77956397732 scopus 로고    scopus 로고
    • Region grouping in natural foliage scenes: Image statistics and human performance
    • doi:10.1167/10.4.10. [PubMed] [Article]
    • Ing, A. D., Wilson, J. A., & Geisler, W. S. (2010). Region grouping in natural foliage scenes: Image statistics and human performance. Journal of Vision, 10(4):10, 1-19, http://www.journalofvision.org/content/10/4/10, doi:10.1167/10.4.10. [PubMed] [Article]
    • (2010) Journal of Vision , vol.10 , Issue.4-10 , pp. 1-19
    • Ing, A.D.1    Wilson, J.A.2    Geisler, W.S.3
  • 30
    • 0023604532 scopus 로고
    • The twodimensional spatial structure of simple receptive fields in cat striate cortex
    • Jones, J. P., & Palmer, L. A. (1987). The twodimensional spatial structure of simple receptive fields in cat striate cortex. Journal of Neurophysiology, 58, 1187-1211.
    • (1987) Journal of Neurophysiology , vol.58 , pp. 1187-1211
    • Jones, J.P.1    Palmer, L.A.2
  • 31
    • 0347517574 scopus 로고    scopus 로고
    • Learning higher-order structures in natural images
    • Karklin, Y., & Lewicki, M. S. (2003). Learning higher-order structures in natural images. Network, 14, 483-499.
    • (2003) Network , vol.14 , pp. 483-499
    • Karklin, Y.1    Lewicki, M.S.2
  • 32
    • 58149234993 scopus 로고    scopus 로고
    • Emergence of complex cell properties by learning to generalize in natural scenes
    • Karklin, Y., & Lewicki, M. S. (2009). Emergence of complex cell properties by learning to generalize in natural scenes. Nature, 457, 83-86.
    • (2009) Nature , vol.457 , pp. 83-86
    • Karklin, Y.1    Lewicki, M.S.2
  • 34
    • 37349061800 scopus 로고    scopus 로고
    • Does spatial invariance result from insensitivity to change?
    • doi:10. 1167/7.14.11. [PubMed] [Article]
    • Kingdom, F. A. A., Field, D. J., & Olmos, A. (2007). Does spatial invariance result from insensitivity to change? Journal of Vision, 7(14):11, 1-13, http://www.journalofvision.org/content/7/14/11, doi:10. 1167/7.14.11. [PubMed] [Article]
    • (2007) Journal of Vision , vol.7 , Issue.11-14 , pp. 1-13
    • Kingdom, F.A.A.1    Field, D.J.2    Olmos, A.3
  • 35
    • 0642341849 scopus 로고    scopus 로고
    • Do humans optimally integrate stereo and texture information for judgments of slant?
    • Knill, D. C., & Saunders, J. A. (2003). Do humans optimally integrate stereo and texture information for judgments of slant? Vision Research, 43, 2539-2558.
    • (2003) Vision Research , vol.43 , pp. 2539-2558
    • Knill, D.C.1    Saunders, J.A.2
  • 37
    • 0026082746 scopus 로고
    • Texture segregation and orientation gradient
    • Landy, M. S. (1991). Texture segregation and orientation gradient. Vision Research, 31, 679-691.
    • (1991) Vision Research , vol.31 , pp. 679-691
    • Landy, M.S.1
  • 39
  • 40
    • 0141573464 scopus 로고    scopus 로고
    • Detecting salient contours using orientation energy distribution
    • IEEE Conference Publications
    • Lee, H.-C., & Choe, Y. (2003). Detecting salient contours using orientation energy distribution. In International Joint Conference on Neural Networks (pp. 206-211). IEEE Conference Publications.
    • (2003) In International Joint Conference on Neural Networks , pp. 206-211
    • Lee, H.-C.1    Choe, Y.2
  • 42
    • 0025427592 scopus 로고
    • Preattentive texture discrimination with early vision mechanisms
    • Malik, J., & Perona, P. (1990). Preattentive texture discrimination with early vision mechanisms. Journal of the Optical Society of America A, 7, 923-932.
    • (1990) Journal of the Optical Society of America A , vol.7 , pp. 923-932
    • Malik, J.1    Perona, P.2
  • 44
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • Martin, D., Fowlkes, C. C., Tal, D., & Malik, J. (2001). A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. Proceedings of the 8th International Conference on Computer Vision, 2, 416-423.
    • (2001) Proceedings of the 8th International Conference on Computer Vision , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.C.2    Tal, D.3    Malik, J.4
  • 46
    • 9344223927 scopus 로고    scopus 로고
    • Psychophysics with junctions in real images
    • McDermott, J. (2004). Psychophysics with junctions in real images. Perception, 33, 1101-1127.
    • (2004) Perception , vol.33 , pp. 1101-1127
    • McDermott, J.1
  • 47
    • 0038071509 scopus 로고    scopus 로고
    • Neither here nor there: Localizing conflicting visual attributes
    • doi:10.1167/3.4.2. [PubMed] [Article]
    • McGraw, P. V., Whitaker, D., Badcock, D. R., & Skillen, J. (2003). Neither here nor there: Localizing conflicting visual attributes. Journal of Vision, 3(4): 2, 265-273, http://www.journalofvision.org/content/3/4/2, doi:10.1167/3.4.2. [PubMed] [Article]
    • (2003) Journal of Vision , vol.3 , Issue.2-4 , pp. 265-273
    • McGraw, P.V.1    Whitaker, D.2    Badcock, D.R.3    Skillen, J.4
  • 49
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • Oliva, A., & Torralba, A. (2001). Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42, 145-175.
    • (2001) International Journal of Computer Vision , vol.42 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 50
    • 37349063302 scopus 로고    scopus 로고
    • McGill calibrated colour image database
    • Internet site, Accessed November 20, 2012
    • Olmos, A., & Kingdom, F. A. A. (2004). McGill calibrated colour image database. Internet site: http://tabby.vision.mcgill.ca (Accessed November 20, 2012).
    • (2004)
    • Olmos, A.1    Kingdom, F.A.A.2
  • 51
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive-field properties by learning a sparse code for natural images
    • Olshausen, B. A., & Field, D. J. (1996). Emergence of simple-cell receptive-field properties by learning a sparse code for natural images. Nature, 381, 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 53
    • 38249010259 scopus 로고
    • Steerable-scalable kernels for edge detection and junction analysis
    • Perona, P. (1992). Steerable-scalable kernels for edge detection and junction analysis. Image and Vision Computing, 10, 663-672.
    • (1992) Image and Vision Computing , vol.10 , pp. 663-672
    • Perona, P.1
  • 55
    • 0034291204 scopus 로고    scopus 로고
    • A parametric texture model based on joint statistics of complex wavelet coefficients
    • Portilla, J., & Simoncelli, E. P. (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. International Journal of Computer Vision, 40, 4971.
    • (2000) International Journal of Computer Vision , vol.40 , pp. 4971
    • Portilla, J.1    Simoncelli, E.P.2
  • 57
    • 0008183823 scopus 로고    scopus 로고
    • Natural scene statistics at the centre of gaze
    • Reinagel, P., & Zador, A. M. (1999). Natural scene statistics at the centre of gaze. Network, 10, 341-350.
    • (1999) Network , vol.10 , pp. 341-350
    • Reinagel, P.1    Zador, A.M.2
  • 59
    • 0029655798 scopus 로고    scopus 로고
    • Localizing contours defined by more than one attribute
    • Rivest, J., & Cavanagh, P. (1996). Localizing contours defined by more than one attribute. Vision Research, 36, 53-66.
    • (1996) Vision Research , vol.36 , pp. 53-66
    • Rivest, J.1    Cavanagh, P.2
  • 60
    • 0034939633 scopus 로고    scopus 로고
    • Natural signal statistics and sensory gain control
    • Schwartz, O., & Simoncelli, E. P. (2001). Natural signal statistics and sensory gain control. Nature Neuroscience, 4, 819-825.
    • (2001) Nature Neuroscience , vol.4 , pp. 819-825
    • Schwartz, O.1    Simoncelli, E.P.2
  • 62
    • 1542315425 scopus 로고    scopus 로고
    • The visual perception of 3D shape
    • Todd, J. T. (2004). The visual perception of 3D shape. Trends in Cognitive Science, 8, 115-121.
    • (2004) Trends in Cognitive Science , vol.8 , pp. 115-121
    • Todd, J.T.1
  • 63
    • 65249140851 scopus 로고    scopus 로고
    • How many pixels make an image?
    • Torralba, A. (2009). How many pixels make an image? Visual Neuroscience, 26, 123-131.
    • (2009) Visual Neuroscience , vol.26 , pp. 123-131
    • Torralba, A.1
  • 65
    • 0023898958 scopus 로고
    • Computing texture boundaries from images
    • Voorhees, H., & Poggio, T. (1988). Computing texture boundaries from images. Nature, 333, 364-367.
    • (1988) Nature , vol.333 , pp. 364-367
    • Voorhees, H.1    Poggio, T.2
  • 66
    • 18044402122 scopus 로고    scopus 로고
    • Nonlinear and extra-classical receptive field properties and the statistics of natural scenes
    • Zetzsche, C., & Rohrbein, F. (2001). Nonlinear and extra-classical receptive field properties and the statistics of natural scenes. Network, 12, 331-350.
    • (2001) Network , vol.12 , pp. 331-350
    • Zetzsche, C.1    Rohrbein, F.2
  • 67
    • 42149191180 scopus 로고    scopus 로고
    • Cue combination and color edge detection in natural scenes
    • doi:10.1167/8.4.4. [PubMed] [Article]
    • Zhou, C., & Mel, B. W. (2008). Cue combination and color edge detection in natural scenes. Journal of Vision, 8(4):4, 1-25, http://www.journalofvision.org/content/8/4/4, doi:10.1167/8.4.4. [PubMed] [Article]
    • (2008) Journal of Vision , vol.8 , Issue.4 , pp. 1-25
    • Zhou, C.1    Mel, B.W.2
  • 68
    • 0000806445 scopus 로고    scopus 로고
    • Minimax entropy principle and its application to texture modeling
    • Zhu, S. C., Wu, Y. N., & Mumford, D. (1997). Minimax entropy principle and its application to texture modeling. Neural Computation, 9, 1627-1660.
    • (1997) Neural Computation , vol.9 , pp. 1627-1660
    • Zhu, S.C.1    Wu, Y.N.2    Mumford, D.3
  • 69
    • 84878365137 scopus 로고    scopus 로고
    • Independent component analysis of natural and urban image ensembles
    • Ziegaus, C., & Lang, E. W. (2003). Independent component analysis of natural and urban image ensembles. Neural Information Processing Letters, 1, 89-95.
    • (2003) Neural Information Processing Letters , vol.1 , pp. 89-95
    • Ziegaus, C.1    Lang, E.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.