Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi

SİNAN KALKAN (Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)
Özge Öztimur KARADAĞ, (Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)
Alper KARAMANLIOĞLU, (Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)
Buğra ÖZKAN, (Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)
Gaye TOPUZ, (Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)
Hacer Nihal TARKAN, (Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)
Mehmet Akif AKKUŞ (Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)
8 0

Proje Grubu: EEEAG Sayfa Sayısı: 76 Proje No: 111E155 Proje Bitiş Tarihi: 01.10.2015 Metin Dili: Türkçe İndeks Tarihi: 29-07-2022

Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi

Öz:
-
Anahtar Kelime:

Erişim Türü: Erişime Açık
  • Albert M. K. 2001. “Cue interactions, border ownership and illusory contours”, Vision Research, 41:2827-2834.
  • Anderson B.L., Singh M., Fleming R.W. 2002. “The interpolation of object and surface structure”, Cognitive Psychology, 44(43):148-190.
  • Bakin J. S., Nakayama K., Gilbert C. D. 2000. “Visual responses in monkey areas v1 and v2 to three-dimensional surface configurations”, Journal of Neuroscience, 20:8188-8198.
  • Barrow H. G., Tenenbaum J. M. 1981. “Interpreting line drawings as three-dimensional surfaces”, Artificial Intelligence, 17:75-116.
  • Bayerl P., Neumann H. 2007. “Disambiguating Visual Motion by Form-Motion Interaction-a Computational Model”, International Journal of Computer Vision. Vol. 72, no. 1, pp. 27-45.
  • Brown M. Z., Burschka D., Hager G. D. 2003. “Advances in computational stereo”, IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 25, no. 8, pp. 993-1008.
  • Chen, X., Li, Q., Zhao, D., and Zhao, Q. 2013. “Occlusion cues for image scene layering”, Computer Vision and Image Understanding, 117(1):42 – 55.
  • Collett T. S. 1985. “Extrapolating and Interpolating Surfaces in Depth”, Royal Society of London Proceedings Series B, 224:43-56.
  • Craft, E., Schutze, H., Niebur, E., Von Der Heydt, R. 2007. “A neural model of figure–ground organization”, Journal of neurophysiology, 97(6):4310–4326.
  • Dellen B., Wörgötter F. 2009. “Disparity from stereo-segment silhouettes of weakly-structured images”, British Machine Vision Conference.
  • Fang, F., Boyaci, H., Kersten, D. 2009. “Border ownership selectivity in human early visual cortex and its modulation by attention”, The Journal of Neuroscience, 29(2):460–465.
  • Finkel L. H., Sajda P. 1992. “Object discrimination based on depth-from occlusion”, Neural Comput., 4(6):901-921.
  • Fowlkes, C. C., Martin, D. R., and Malik, J. 2007. “Local figure-ground cues are valid for natural images”, Journal of Vision, 7(8):1–9.
  • Froyen, V., Feldman, J., Singh, M. 2010. “A bayesian framework for figure-ground interpretation”, In Advances in neural information processing systems, pages 631–639.
  • Grimson, W. E. L. 1982. “A Computational Theory of Visual Surface Interpolation”, Royal Society of London Philosophical Transactions Series B, 298:395-427.
  • Hegde, J., Van Essen, D. C. 2007. “A comparative study of shape representation in macaque visual areas v2 and v4”, Cerebral Cortex, 17(5):1100–1116.
  • Ince S., Konrad J. 2008. “Occlusion-Aware Optical Flow Estimation”, IEEE Transactions on Image Processing, Vol. 17, No. 8. pp. 1443 – 1451.
  • Julesz, B. 1971. “Foundations of Cyclopean Perception”. Univ. of Chicago Press, Chicago, IL.
  • Kienker, P. K., Sejnowski, T. J., Hinton, G. E., and Schumacher, L. E. 1986. “Separating figure from ground with a parallel network”, Perception, 15(2):197–216.
  • Kikuchi, M., Akashi, Y. 2001. “A model of border-ownership coding in early vision”, In International Conference on Artificial Neural Networks, pages 1069–1074.
  • Kikuchi, M., Fukushima, K. 2003. “Assignment of figural side to contours based on symmetry, parallelism, and convexity”, In Knowledge-Based Intelligent Information and Engineering Systems, pages 123–130.
  • Koffka, K. 1935. Principles of Gestalt Psychology. Harcourt. Brace.
  • Kogo, N., van Ee, R. 2014. “Neural mechanisms of figure-ground organization: Border-ownership, competition and perceptual switching”, In Wagemans, J., editor, The Oxford Handbook of perceptual organization. Oxford University Press.
  • Komatsu, H. 2006. “The neural mechanisms of perceptual filling-in”, Nature Reviews Neuroscience, 7:220-231.
  • Layton, O. W., Mingolla, E., Yazdanbakhsh, A. 2012. “Dynamic coding of border-ownership in visual cortex”. Journal of Vision, 12(13):1–21.
  • Leichter, I., Lindenbaum, M. 2009. “Boundary ownership by lifting to 2.1d”, In IEEE 12th International Conference on Computer Vision, pages 9–16. IEEE.
  • Liu, B., Gould, S., Koller, D. 2010. “Single Image Depth Estimation From Predicted Semantic Labels”, International Conference on Computer Vision and Pattern Recognition (CVPR).
  • Liu, C., Yuen, J., Torralba, A., Sivic, J., & Freeman, W. T. 2008. Sift flow: Dense correspondence across different scenes. In Computer Vision–ECCV 2008 (pp. 28-42). Springer Berlin Heidelberg.
  • Lowe, D. G. 1999. Object recognition from local scale-invariant features. In proceedings of the seventh IEEE international conference on computer vision, 2, pp.1150-1157, IEEE.
  • Martin, D., Fowlkes, C., Tal, D., Malik, J. 2001. “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in Proc. 8th Int’l Conf. Computer Vision, pp. 416–423.
  • Mordohai, P., Medioni, G. 2006. “Tensor voting: a perceptual organization approach to computer vision and machine learning”, Synthesis Lectures on Image, Video, and Multimedia Processing, 2(1), 1-136.
  • Neumann H., Yazdanbakhsh A, Mingolla E. 2007. “Seeing surfaces: The brain's vision of the world”, Physics of Life Reviews, 4:189-222.
  • Nishimura H., Sakai K. 2004. “Determination of border ownership based on the surround context of contrast”, Neurocomputing, 58-60:843-848.
  • Pessoa L., Thompson E., Noe A. 1998. “Finding out about filling-in: A guide to perceptual completion for visual science and the philosophy of perception”, Behavioral and Brain Sciences, 21(06):723-748.
  • Peterson, M. A., Harvey, E. M., Weidenbacher, H. J. 1991. “Shape recognition contributions to figure-ground reversal: which route counts?” Journal of Experimental Psychology: Human Perception and Performance, 17(4):1075–1089.
  • Peterson, M. A. 1999. “What’s in a stage name? comment on vecera and o’reilly (1998)”, Journal of Experimental Psychology: Human Perception and Performance, 25(1):276–286.
  • Peterson, M. A. and Salvagio, E. 2008. Inhibitory competition in figure-ground perception: Context and convexity. Journal of Vision, 8(16):1–13.
  • Qiu, F. T., Sugihara, T., von der Heydt, R. 2007. “Figure-ground mechanisms provide structure for selective attention”, Nature Neuroscience, 10(11):1492–1499.
  • Qiu, F. T., Von Der Heydt, R. 2005. “Figure and ground in the visual cortex: V2 combines stereoscopic cues with gestalt rules”, Neuron, 47(1):155–166.
  • Ramenahalli, S., Mihalas, S., Niebur, E. 2012. “Figure-ground classification based on spectral properties of boundary image patches”, In 46th Annual Conference on Information Sciences and Systems, CISS 2012, Princeton, NJ, USA, March 21-23, 2012, pages 1–4.
  • Ren, X., Fowlkes, C. C., Malik, J. 2006. “Figure/Ground assignment in natural images”, In European Conference on Computer Vision, pages 614–627.
  • Sabatini, S. P., Gastaldi, G., Solari, F., Diaz, J., Ros, E., Pauwels, K., Hulle, K. M. M. V., Pugeault, N., Kruger, N. 2007. “Compact and accurate early vision processing in the harmonic space”, International Conference on Computer Vision Theory and Applications (VISAPP).
  • Sajda, P., Finkel, L. H. 1995. “Intermediate-level visual representations and the construction of surface perception”, Journal of cognitive neuroscience, 7(2):267–291.
  • Sakai, K., Nishimura, H., Shimizu, R., Kondo, K. 2012. “Consistent and robust determination of border ownership based on asymmetric surrounding contrast”, Neural Networks, 33:257– 274.
  • Scharstein D., Szeliski R. 2002. “A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms”, International Journal of Computer Vision, Vol. 47 (1-3), 7 – 42.
  • Telea, A. 2004. “An image inpainting technique based on the fast marching method”, Journal of graphics tools, 9(1):23-34.
  • Terzopoulos, D. 1988. “The computation of visible-surface representations”, IEEE Trans. Pattern Anal. Mach. Intell., 10(4):417-438.
  • Treue S., Andersen R. A., Ando H., Hildreth E. C. 1995. “Structure-from motion: perceptual evidence for surface interpolation”, Vision Research, 35(1):139-48.
  • Unnikrishnan, R., Hebert, M. 2005. “Measures of similarity,” 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION),Breckenridge, CO, USA.
  • Vecera, S. P. O’reilly, R. C. 1998. “Figure-ground organization and object recognition processes: an interactive account”. Journal of Experimental Psychology: Human Perception and Performance, 24(2):441–462.
  • Vecera, S. P. O’Reilly, R. C. 2000. “Graded effects in hierarchical figure-ground organization: reply to peterson (1999)”, Journal of Experimental Psychology: Human Perception and Performance, 26(3):1221–1231.
  • Vecera, S. P., Vogel, E. K., Woodman, G. F. 2002. “Lower region: A new cue for figure-ground assignment”, Journal of Experimental Psychology-General, 131(2):194–205.
  • Weickert, J. 1998. “Anisotropic diffusion in image processing”, Vol. 1. Stuttgart: Teubner.
  • Weickert J., Bruhn A., Brox T., Papenberg N. 2006. “A Survey on Variational Optic Flow Methods for Small Displacements”, Mathematical Models for Registration and Applications to Medical Imaging, vol 10, part-I, 103-106.
  • Zhou H., Friedman H. S., von der Heydt R. 2000. “Coding of Border Ownership in Monkey”, Visual Cortex. J. Neurosci., 20(17):6594-6611.
  • Zucker, S. W. 2012. “Local field potentials and border ownership: a conjecture about computation in visual cortex”, Journal of Physiology-Paris, 106(5):297–315.
APA Kalkan S, KARADAĞ Ö, KARAMANLIOĞLU A, ÖZKAN B, TOPUZ G, TARKAN H, AKKUŞ M (2015). Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. , 1 - 76.
Chicago Kalkan Sinan,KARADAĞ Özge Öztimur,KARAMANLIOĞLU Alper,ÖZKAN Buğra,TOPUZ Gaye,TARKAN Hacer Nihal,AKKUŞ Mehmet Akif Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. (2015): 1 - 76.
MLA Kalkan Sinan,KARADAĞ Özge Öztimur,KARAMANLIOĞLU Alper,ÖZKAN Buğra,TOPUZ Gaye,TARKAN Hacer Nihal,AKKUŞ Mehmet Akif Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. , 2015, ss.1 - 76.
AMA Kalkan S,KARADAĞ Ö,KARAMANLIOĞLU A,ÖZKAN B,TOPUZ G,TARKAN H,AKKUŞ M Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. . 2015; 1 - 76.
Vancouver Kalkan S,KARADAĞ Ö,KARAMANLIOĞLU A,ÖZKAN B,TOPUZ G,TARKAN H,AKKUŞ M Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. . 2015; 1 - 76.
IEEE Kalkan S,KARADAĞ Ö,KARAMANLIOĞLU A,ÖZKAN B,TOPUZ G,TARKAN H,AKKUŞ M "Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi." , ss.1 - 76, 2015.
ISNAD Kalkan, Sinan vd. "Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi". (2015), 1-76.
APA Kalkan S, KARADAĞ Ö, KARAMANLIOĞLU A, ÖZKAN B, TOPUZ G, TARKAN H, AKKUŞ M (2015). Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. , 1 - 76.
Chicago Kalkan Sinan,KARADAĞ Özge Öztimur,KARAMANLIOĞLU Alper,ÖZKAN Buğra,TOPUZ Gaye,TARKAN Hacer Nihal,AKKUŞ Mehmet Akif Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. (2015): 1 - 76.
MLA Kalkan Sinan,KARADAĞ Özge Öztimur,KARAMANLIOĞLU Alper,ÖZKAN Buğra,TOPUZ Gaye,TARKAN Hacer Nihal,AKKUŞ Mehmet Akif Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. , 2015, ss.1 - 76.
AMA Kalkan S,KARADAĞ Ö,KARAMANLIOĞLU A,ÖZKAN B,TOPUZ G,TARKAN H,AKKUŞ M Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. . 2015; 1 - 76.
Vancouver Kalkan S,KARADAĞ Ö,KARAMANLIOĞLU A,ÖZKAN B,TOPUZ G,TARKAN H,AKKUŞ M Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi. . 2015; 1 - 76.
IEEE Kalkan S,KARADAĞ Ö,KARAMANLIOĞLU A,ÖZKAN B,TOPUZ G,TARKAN H,AKKUŞ M "Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi." , ss.1 - 76, 2015.
ISNAD Kalkan, Sinan vd. "Sınır sahipliği ile görüntülerden hassas görsel bilgi edinimi". (2015), 1-76.
Sayfa Oluşturulma Tarihi
18-04-2024 2:49

İLETİŞİM

TÜBİTAK ULAKBİM TR Dizin

Yüzüncüyıl, İşçi Blokları Mahallesi

Muhsin Yazıcıoğlu Caddesi No:51/C

06530 Çankaya / ANKARA +90 (312) 298 92 00

trdizin@tubitak.gov.tr

TÜBİTAK ULAKBİM Ulusal Akademik Ağ ve Bilgi Merkezi Cahit Arf Bilgi Merkezi © Tüm Hakları Saklıdır. Gizlilik Politikası Kullanım Şartları