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Independent mechanisms for bright and dark image features in a stereo correspondence task

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2011
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Read, Jenny C A
Vaz, Xavier A
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A pioneering study by J. M. Harris and A. J. Parker (1995) found that disparity judgments using random-dot stereograms were better for stimuli composed of mixed bright and dark dots than when the dots were all bright or all dark. They attribute this to an improvement in stereo correspondence. This result is hard to explain within current models of how stereo correspondence is achieved. However, their experiment varied task difficulty by adding disparity noise. We wondered if this might challenge mechanisms subsequent to the solution of the correspondence problem rather than mechanisms that solve the correspondence problem itself. If so, this would avoid the need to modify current models of stereo correspondence. We therefore repeated Harris and Parker's experiment using interocular decorrelation to vary task difficulty. This technique is believed to probe stereo correspondence more specifically. We observed the efficiency increase reported by Harris and Parker for mixed-polarity dots both using their original technique of disparity noise and using interocular decorrelation. We show that this effect cannot be accounted for by the stereo energy or by simple modifications of it. Our results confirm Harris and Parker's original conclusion that mixed-polarity dots specifically benefit stereo correspondence and point up the challenge to current models of this process.
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Adelson, E. H., & Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America A, 2, 284–299. Adelson, E. H., & Bergen, J. R. (1986, May 7–9). The extraction of spatio-temporal energy in human and machine vision. Paper presented at the Workshop on Motion: Representation and Analysis, Charleston, SC. Agresti, A., & Coull, B. (1998). Approximate is better than “exact” for interval estimation of binomial proportions. American Statistician, 52, 119–126. Badcock, D. R., Clifford, C. W., & Khuu, S. K. (2005). Interactions between luminance and contrast signals in global form detection. Vision Research, 45, 881–889. Banks, M. S., Gepshtein, S., & Landy, M. S. (2004). Why is spatial stereoresolution so low? Journal of Neuroscience, 24, 2077–2089. Bell, J., & Badcock, D. R. (2008). Luminance and contrast cues are integrated in global shape detection with contours. Vision Research, 48, 2336–2344. Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433–436. Brooks, A., & van der Zwan, R. (2002). The role of ON- and OFF-channel processing in the detection of bilateral symmetry. Perception, 31, 1061–1072. Croner, L. J., & Albright, T. D. (1997). Image segmentation enhances discrimination of motion in visual noise. Vision Research, 37, 1415–1427. Edwards, M. (2009). Common-fate motion processing: Interaction of the On and Off pathways. Vision Research, 49, 429–438. Edwards, M., & Badcock, D. R. (1994). Global motion perception: Interaction of the ON and OFF pathways. Vision Research, 34, 2849–2858. Filippini, H. R., & Banks, M. S. (2009). Limits of stereopsis explained by local cross-correlation. Journal of Vision, 9(1):8, 1–18, http://www.journalofvision.org/ content/9/1/8, doi:10.1167/9.1.8. [PubMed] [Article] Fleet, D., Wagner, H., & Heeger, D. (1996). Neural encoding of binocular disparity: Energy models, position shifts and phase shifts. Vision Research, 36, 1839–1857. Harris, J. M., & Parker, A. J. (1995). Independent neural mechanisms for bright and dark information in binocular stereopsis. Nature, 374, 808–811. Hibbard, P. B., Bradshaw, M. F., & Eagle, R. A. (2000). Cue combination in the motion correspondence problem. Proceedings of the Royal Society B: Biological Sciences, 267, 1369–1374. Lippert, J., & Wagner, H. (2002). Visual depth encoding in populations of neurons with localized receptive fields. Biological Cybernetics, 87, 249–261. Mikaelian, S., & Qian, N. (2000). A physiologically-based explanation of disparity attraction and repulsion. Vision Research, 40, 2999–3016. Ohzawa, I. (1998). Mechanisms of stereoscopic vision: The disparity energy model. Current Opinion in Neurobiology, 8, 509–515. Ohzawa, I., DeAngelis, G. C., & Freeman, R. D. (1990). Stereoscopic depth discrimination in the visual cortex: Neurons ideally suited as disparity detectors. Science, 249, 1037–1041. Ohzawa, I., DeAngelis, G. C., & Freeman, R. D. (1996). Encoding of binocular disparity by simple cells in the cat’s visual cortex. Journal of Neurophysiology, 75, 1779–1805. Ohzawa, I., DeAngelis, G. C., & Freeman, R. D. (1997). Encoding of binocular disparity by complex cells in the cat’s visual cortex. Journal of Neurophysiology, 77, 2879–2909. Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437–442. Poggio, G. F., & Fischer, B. (1977). Binocular interaction and depth sensitivity of striate and prestriate cortex of behaving rhesus monkey. Journal of Neurophysiology, 40, 1392–1405. Prince, S. J., Pointon, A. D., Cumming, B. G., & Parker, A. J. (2002). Quantitative analysis of the responses of V1 neurons to horizontal disparity in dynamic random-dot stereograms. Journal of Neurophysiology, 87, 191–208. Prince, S. J. P., & Eagle, R. E. (2000). Weighted directional energy model of human stereo correspondence. Vision Research, 40, 1143–1155. Qian, N. (1994). Computing stereo disparity and motion with known binocular cell properties. Neural Computation, 6, 390–404. Qian, N. (1997). Binocular disparity and the perception of depth. Neuron, 18, 359–368. Qian, N., & Andersen, R. A. (1997). A physiological model for motion-stereo integration and a unified explanation of Pulfrich-like phenomena. Vision Research, 37, 1683–1698. Qian, N., & Zhu, Y. (1997). Physiological computation of binocular disparity. Vision Research, 37, 1811–1827. Read, J. C. A. (2002a). A Bayesian approach to the stereo correspondence problem. Neural Computation, 14, 1371–1392. Read, J. C. A. (2002b). A Bayesian model of stereopsis depth and motion direction discrimination. Biological Cybernetics, 86, 117–136. Read, J. C. A. (2010). Vertical binocular disparity is encoded implicitly within a model neuronal population tuned to horizontal disparity and orientation. PLoS Computational Biology, 6, e1000754. Read, J. C. A., & Cumming, B. G. (2003). Testing quantitative models of binocular disparity selectivity in primary visual cortex. Journal of Neurophysiology, 90, 2795–2817. Read, J. C. A., & Cumming, B. G. (2004). Ocular dominance predicts neither strength nor class of disparity selectivity with random-dot stimuli in primate V1. Journal of Neurophysiology, 91, 1271–1281. Read, J. C. A., Parker, A. J., & Cumming, B. G. (2002). A simple model accounts for the reduced response of disparity-tuned V1 neurons to anti-correlated images. Visual Neuroscience, 19, 735–753. Serrano-Pedraza, I., & Read, J. C. A. (2009). Stereo vision requires an explicit encoding of vertical disparity. Journal of Vision, 9(4):3, 1–13, http://www.journalofvision.org/content/9/4/3, doi:10.1167/9.4.3. [PubMed] [Article] Snowden, R. J., & Edmunds, R. (1999). Colour and polarity contributions to global motion perception. Vision Research, 39, 1813–1822. Tanaka, H., & Ohzawa, I. (2006). Neural basis for stereopsis from second-order contrast cues. Journal of Neuroscience, 26, 4370–4382. Watson, A. B., & Ahumada, A. J., Jr. (1985). Model of human visual-motion sensing. Journal of the Optical Society of America A, 2, 322–341. Wenderoth, P. (1996). The effects of the contrast polarity of dot-pair partners on the detection of bilateral symmetry. Perception, 25, 757–771. Wilson, J. A., Switkes, E., & De Valois, R. L. (2004). Glass pattern studies of local and global processing of contrast variations. Vision Research, 44, 2629–2641.
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