Image understanding, attention and human early visual cortex

Fang FANG, Yizhou WANG

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PDF(575 KB)
Front. Electr. Electron. Eng. ›› 2012, Vol. 7 ›› Issue (1) : 85-93. DOI: 10.1007/s11460-012-0184-0
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Image understanding, attention and human early visual cortex

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Abstract

This paper reviews our recent fMRI and psychophysical finding on: 1) perceived size representation in V1; 2) border ownership representation in V2; and 3) neural processing of partially occluded face. These findings demonstrate that the human early visual cortex not only performs local feature analyses, but also contributes significantly to high-level visual computation with assistance of attention-enabled cortical feedback. Moreover, by taking advantage of recent findings on early visual cortex from neuroscience and cognitive science, we build a biologically plausible attention model that can well predict human scanpaths on natural images.

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vision / attention / image understanding / early visual cortex

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Fang FANG, Yizhou WANG. Image understanding, attention and human early visual cortex. Front Elect Electr Eng, 2012, 7(1): 85‒93 https://doi.org/10.1007/s11460-012-0184-0

References

[1]
Wandell B A, Dumoulin S O, Brewer A A. Visual field maps in human cortex. Neuron, 2007, 56(2): 366-383
CrossRef Google scholar
[2]
Fang F, Boyaci H, Kersten D, Murray S O. Attentiondependent representation of a size illusion in human V1. Current Biology, 2008, 18(21): 1707-1712
CrossRef Google scholar
[3]
Wojciulik E, Kanwisher N, Driver J. Covert visual attention modulates face-specific activity in the human fusiform gyrus: fMRI study. Journal of Neurophysiology, 1998, 79(3): 1574-1578
[4]
Murray S O, He S. Contrast invariance in the human lateral occipital complex depends on attention. Current Biology, 2006, 16(6): 606-611
CrossRef Google scholar
[5]
Nakayama K, Shimojo S, Silverman G H. Stereoscopic depth: Its relation to image segmentation, grouping, and the recognition of occluded objects. Perception, 1989, 18(1): 55-68
CrossRef Google scholar
[6]
Driver J, Baylis G C. Edge-assignment and figure-ground segmentation in short-term visual matching. Cognitive Psychology, 1996, 31(3): 248-306
CrossRef Google scholar
[7]
Lee T S, Mumford D, Romero R, Lamme V A F. The role of the primary visual cortex in higher level vision. Vision Research, 1998, 38(15-16): 2429-2454
CrossRef Google scholar
[8]
Zhou H, Friedman H S, von der Heydt R. Coding of border ownership in monkey visual cortex. Journal of Neuroscience, 2000, 20(17): 6594-6611
[9]
Qiu F T, von der Heydt R. Figure and ground in the visual cortex: V2 combines stereoscopic cues with Gestalt rules. Neuron, 2005, 47(1): 155-166
CrossRef Google scholar
[10]
Kourtzi Z, Kanwisher N. Representation of perceived object shape by the human lateral occipital complex. Science, 2001, 293(5534): 1506-1509
CrossRef Google scholar
[11]
Andrews T J, Schluppeck D, Homfray D, Matthews P, Blakemore C. Activity in the fusiform gyrus predicts conscious perception of Rubin’s vase-face illusion. NeuroImage, 2002,17(2): 890-901
CrossRef Google scholar
[12]
Fang F, Murray S O, Kersten D J, He S. Orientation-tuned fMRI adaptation in human visual cortex. Journal of Neurophysiology, 2005, 94(6): 4188-4195
CrossRef Google scholar
[13]
Fang F, Boyaci H, Kersten D. Border ownership selectivity in human early visual cortex and its modulation by attention. Journal of Neuroscience, 2009, 29(2): 460-465
CrossRef Google scholar
[14]
Albright T D, Stoner G R. Contextual influences on visual processing. Annual Review of Neuroscience, 2002, 25(1): 339-379
CrossRef Google scholar
[15]
Grill-Spector K, Malach R. The human visual cortex. Annual Review of Neuroscience, 2004, 27(1): 649-677
CrossRef Google scholar
[16]
Kanwisher N. Functional specificity in the human brain: A window into the functional architecture of the mind. Proceedings of the National Academy of Sciences of the United States of America, 2010, 107(25): 11163-11170
CrossRef Google scholar
[17]
Stanley D A, Rubin N. fMRI activation in response to illusory contours and salient regions in the human lateral occipital complex. Neuron, 2003, 37(2): 323-331
CrossRef Google scholar
[18]
Hegde J, Fang F, Murray S O, Kersten D. Preferential responses to occluded objects in the human visual cortex. Journal of Vision, 2008, 8(4): 16-1-16-16
[19]
Grutzner C, Uhlhaas P J, Genc E, Kohler A, Singer W, Wibral M. Neuroelectromagnetic correlates of perceptual closure processes. Journal of Neuroscience, 2010, 30(24): 8342-8352
CrossRef Google scholar
[20]
Sugita Y. Grouping of image fragments in primary visual cortex. Nature, 1999, 401(6750): 269-272
CrossRef Google scholar
[21]
Pillow J, Rubin N. Perceptual completion across the vertical meridian and the role of early visual cortex. Neuron, 2002, 33(5): 805-813
CrossRef Google scholar
[22]
Bakin J S, Nakayama K, Gilbert C D. Visual responses in monkey areas V1 and V2 to three-dimensional surface configurations. Journal of Neuroscience, 2000, 20(21): 8188-8198
[23]
Lerner Y, Hendler T, Malach R. Object-completion effects in the human lateral occipital complex. Cerebral Cortex, 2002, 12(2): 163-177
CrossRef Google scholar
[24]
Murray R F, Sekuler A B, Bennett P J. Time course of amodal completion revealed by a shape discrimination task. Psychonomic Bulletin & Review, 2001, 8(4): 713-720
CrossRef Google scholar
[25]
Chen J, LiuB, Chen B, Fang F. Time course of amodal completion in face perception. Vision Research, 2009, 49(7): 752-758
CrossRef Google scholar
[26]
Bar M, Tootell R B, Schacter D, Greve D, Fischl B, Mendola J, Rosen B, Dale A. Cortical mechanisms specific to explicit visual object recognition. Neuron, 2001, 29(2): 529-535
CrossRef Google scholar
[27]
Lamme V A F, Zipser K, Spekreijse H. Masking interrupts figure-ground signals in V1. Journal of Cognitive Neuroscience, 2002, 14(7): 1044-1053
CrossRef Google scholar
[28]
Chen J, Zhou T, Yang H, Fang F. Cortical dynamics underlying face completion in human visual system. Journal of Neuroscience, 2010, 30(49): 16692-16698
CrossRef Google scholar
[29]
Fang F, He S. Viewer-centered object representation in the human visual system revealed by viewpoint aftereffect. Neuron, 2005, 45(5): 793-800
CrossRef Google scholar
[30]
Wang W, Chen C,Wang Y, Jiang T, Fang F, Yao Y. Simulating human saccadic scanpath on natural images. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. 2011, 441-448
[31]
Olshausen B, Field D. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 1996, 381(6583): 607-609
CrossRef Google scholar
[32]
Wang W, Wang Y, Huang Q, Gao W. Measuring visual saliency by site entropy rate. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. 2010, 2368-2375
[33]
Itti L, Koch C, Niebur E. A model of saliency based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(11): 1254-1259
CrossRef Google scholar
[34]
Yao J G, Gao X, Yan H M, Li C Y. Field of attention for instantaneous object recognition. PLoS ONE, 2011, 6(1): e16343
CrossRef Google scholar
[35]
Hou X, Zhang L. Dynamic visual attention: Searching for coding length increments. Advances in Neural Information Processing Systems, 2008, 21: 681-688
[36]
Sauer T, Yorke J, Casdagli M. Embedology. Journal of Statistical Physics, 1991, 65(3-4): 579-616
CrossRef Google scholar
[37]
Bruce N, Tsotsos J. Saliency based on information maximization. Advances in Neural Information Processing Systems, 2006, 18: 155-162

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