Abstract
Texture patterns on surfaces provide powerful cues to the three-dimensional shapes of objects. The perceived shapes, however, can be veridical or distorted depending on the texture pattern. By resolving retinal images of objects into orientation flows and frequency gradients, we can explain both types of percept. Specific patterns of orientation flows arise generically in retinal images of specific shapes and lead automatically to veridical percepts. This perceptual task is probably performed by hard-wired neural mechanisms, because it is affected by anisotropies in properties of early cortical cells, but not by conflicting haptic information. Frequency gradients in retinal images can arise from variations in distances or slants, but are perceived as if from distances even at the cost of ignoring pattern elements. However, the percepts can be corrected for surface slants with haptic feedback, indicating plastic mechanisms. Hardwired and plastic neural mechanisms thus play complementary roles in the perception of 3-D shapes from texture cues.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adams W, Graf E, Ernst M (2004) Experience can change the “light-from-above” prior. Nat Neurosci 7:1057–1058
Albrecht D, Geisler W (1991) Motion selectivity and the contrast-response function of simple cells in the visual cortex. Vis Neurosci 7:531–546
Amedi A, Malach R, Hendler T, Peled S, Zohary E (2001) Visuo-haptic object-related activation in the ventral visual pathway. Nat Neurosci 4:324–330
Appelle S (1972) Perception and discrimination as a function of stimulus orientation: the “oblique effect” in man and animals. Psychol Bull 78:266–278
Ben-Shahar O, Huggins P, Zucker S (2002) On computing visual flows with boundaries: the case of shading and edges. In: Biologically motivated computer vision. LNCS, vol 2525, pp 189–198
Berkeley G (1702) An essay towards a new theory of vision. Dublin & London: 1732
Blake R, Sobel K, James T (2004) Neural synergy between kinetic vision and touch. Psychol Sci 15:397–402
Blakemore C, Campbell F (1969) On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images. J Physiol 203(1):237–260
Blakemore C, Carpenter R, Georgeson M (1970) Lateral inhibition between orientation detectors in the human visual system. Nature 228(5266):37–39
Bonds A (1989) Role of inhibition in the specification of orientation selectivity of cells in the cat striate cortex. Vis Neurosci 2:41–55
Bonin V, Mante V, Carandini M (2005) The suppressive field of neurons in lateral geniculate nucleus. J Neurosci 25:10844–10856
Bracewell RN (1995) Two-dimensional imaging. Prentice Hall, Englewood Cliffs
Breton P, Zucker S (1996) Shadows and shading flow fields. In: IEEE conf on computer vision and pattern recognition, pp 782–789
Brodatz P (1966) Textures: a photographic album for artists and designers. Dover, New York
Burbeck C, Kelly D (1981) Contrast gain measurements and the transient/sustained. J Opt Soc Am 71:1335–1342
Bürger R (2000) The mathematical theory of selection, recombination and mutation. Wiley, West Sussex
Campbell F, Robson J (1968) Application of Fourier analysis to the visibility of gratings. J Physiol 197:551–566
Carandini M, Heeger D, Movshon J (1997) Linearity and normalization in simple cells of the macaque primary visual cortex. J Neurosci 17:8621–8644
Carpenter R, Blakemore C (1973) Interactions between orientations in human vision. Exp Brain Res 18(3):287–303
Chomsky N (1968) Language and mind. Harcourt Brace & World, New York
Chomsky N (1984) Modular approaches to the study of the mind. San Diego State University Press, San Diego
Clerc M, Mallat S (2002) The texture gradient equation for recovering shape from texture. IEEE Trans. Pattern Anal. Mach. Intell. 24(4):536–549
Cohen E, Singh M (2006) Perceived orientation of complex shape reflects graded part decomposition. J Vis 6:805–821
Cohen E, Zaidi Q (2007) Fundamental failures of shape constancy resulting from cortical anisotropy. J Neurosci 27:12540–12545
Cohen E, Zaidi Q (2007) Salience of mirror symmetry in natural patterns [Abstract]. J Vis 7(9):970
DeAngelis G, Robson J, Ohzawa I, Freeman R (1992) Organization of suppression in receptive fields of neurons in cat visual cortex. J Neurophysiol 68:144–163
Driver J, Noesselt T (2008) Multisensory interplay reveals crossmodal influences on ‘sensory-specific’ brain regions, neural responses, and judgments. Neuron 57:11–23
Ernst M, Banks M (2002) Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415:429–433
Ernst M, Banks M, Bülthoff H (2000) Touch can change visual slant perception. Nat Neurosci 3:69–73
Ernst M, Bülthoff H (2004) Merging the senses into a robust percept. Trends Cogn Sci 8:162–169
Essock E (1980) The oblique effect of stimulus identification considered with respect to two classes of oblique effects. Perception 9:37–46
Field D, Wu M (2004) An attempt towards a unifying account of non-linearities in visual neurons. J Vis 4:283a
Filangieri C, Li A (2009) Three-dimensional shape from second-order orientation flows. Vis Res 49:1465–1471
Fleming R, Torralba A, Adelson E (2004) Specular reflections and the perception of shape. J Vis 4(9):798–820
Freeman T, Durand S, Kiper D, Carandini M (2002) Suppression without inhibition in visual cortex. Neuron 35:759–771
Garding J (1992) Shape from texture for smooth curved surfaces in perspective projection. J Math Imaging Vis 2:327–350
Geisler W, Albrecht D, Salvi R, Saunders S (1991) Discrimination performance of single neurons: rate and temporal-pattern information. J Neurophysiol 66:334–362
Geisler W, Diehl R (2002) Bayesian natural selection and the evolution of perceptual systems. Philos Trans R Soc Lond B, Biol Sci 357:419–448
Girshick A, Landy M, Simoncelli E (2011) Cardinal rules: visual orientation perception reflects knowledge of environmental statistics. Nat Neurosci 14:926–932
Griffiths A, Zaidi Q (2000) Perceptual assumptions and projective distortions in a three-dimensional shape illusion. Perception 29:171–200
Griffiths A, Zaidi Q (1998) Rigid objects that appear to bend. Perception 27:799–802
Hansen B, Essock A (2004) A horizontal bias in human visual processing of orientation and its correspondence to the structural components of natural scenes. J Vis 4:1044–1060
Heeger D (1992) Normalization of cell responses in cat striate cortex. Vis Neurosci 9:181–198
Hel Or Y, Zucker S (1989) Texture fields and texture flows. Spat Vis 4:131–139
Heller M (1992) Haptic dominance in form perception: vision versus proprioception. Perception 21:655–660
Hoffman D, Richards W (1984) Parts of recognition. Cognition 18:65–96
Holland J (1975) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. University of Michigan Press, Ann Arbor
James T, Humphrey G, Gati J, Servos P, Menon R et al. (2002) Haptic study of three-dimensional objects activates extrastriate visual areas. Neuropsychologia 40:1706–1714
Kendall D, Barden D, Carne T, Le H (1999) Shape and shape theory. Wiley, Hoboken
Knill D (2001) Contour into texture: information content of surface contours and texture flow. J Opt Soc Am A 18(1):12–35
Koenderink J (1984) What the occluding contour tells us about solid shape. Perception 13:321–330
Landy M, Maloney L, Johnston E, Young M (1995) Measurement and modeling of depth cue combination: in defense of weak fusion. Vis Res 35:389–412
Lawson R (1999) Achieving visual object constancy across plane rotation and depth rotation. Acta Psychol 102:221–245
Li A, Zaidi Q (2001) Erratum to “Information limitations in perception of shape from texture”. [Vis Res 41 (2001) 1519–1534]. Vis Res 41: 2927–2942
Li A, Zaidi Q (2003) Observer strategies in perception of 3-d shape from isotropic textures: developable surfaces. Vis Res 43:2741–2758
Li A, Zaidi Q (2000) Perception of three-dimensional shape from texture is based on patterns of oriented energy. Vis Res 40:217–242
Li A, Zaidi Q (2009) Release from cross-orientation suppression facilitates 3d shape perception. PLoS ONE 4(12):e8333
Li A, Zaidi Q (2004) Three-dimensional shape from non-homogeneous textures: carved and stretched surfaces. J Vis 4:860–878
Li A, Zaidi Q (2001) Veridicality of three dimensional shape perception predicted from amplitude spectra of natural textures. J Opt Soc Am A 18(10):2430–2447
Li A, Tzen B, Yadgarova A, Zaidi Q (2008) Neural basis of 3-d shape aftereffects. Vis Res 48:244–252
Li B, Peterson M, Freeman R (2003) Oblique effect: a neural basis in the visual cortex. J Neurophysiol 90:204–217
Li B, Thompson J, Duong T, Peterson M, Freeman R (2006) Origins of cross-orientation suppression in the visual cortex. J Neurophysiol 96:1755–1764
Lunghi C, Binda P, Morrone M (2010) Touch disambiguates rivalrous perception at early stages of visual analysis. Curr Biol 20:R143–R144
MacEvoy S, Tucker T, Fitzpatrick D (2009) A precise form of divisive suppression supports population coding in the primary visual cortex. Nat Neurosci 12:637–645
Malik J, Rosenholtz R (1997) Computing local surface orientation and shape from texture for curved surfaces. Int J Comput Vis 23(2):149–168
Mansfield R (1974) Neural basis of orientation perception in primate vision. Science 186:1133–1135
Mardia K, Dryden I (1989) The statistical analysis of shape data. Biometrika 76:271–281
Marr D (1982) Vision: a computational investigation into the human representation and processing of visual information. Freeman, San Francisco
Marr D, Nishihara H (1978) Representation and recognition of the spatial organization of three-dimensional shapes. Proc R Soc Lond B, Biol Sci 200:269–294
Maunsell J, Sclar G, Nealey T, DePriest D (1991) Extraretinal representations in area V4 in the macaque monkey. Vis Neurosci 7:561–573
Meese T, Holmes D (2007) Spatial and temporal dependencies of cross-orientation suppression in human vision. Proc Biol Sci 274:127–136
Meier L, Carandini M (2002) Masking by fast gratings. J Vis 2:293–301
Meng X, Zaidi Q (2011) Visual effects of haptic feedback are large but local. PLoS ONE 6(5):e19877. doi:10.1371/journal.pone.0019877
Morrone M, Burr D, Maffei L (1982) Functional implications of cross-orientation inhibition of cortical visual cells. I. Neurophysiological evidence. Proc R Soc Lond B, Biol Sci 216:335–354
Mumford D (1992) On the computational architecture of the neocortex II. The role of cortico-cortical loops. Biol Cybern 66:241–251
Murray S, Kersten D, Olshausen B, Schrater P, Woods D (2002) Shape perception reduces activity in human primary visual cortex. Proc Natl Acad Sci USA 99:15164–15169
Newell F, Ernst M, Tjan B, Bülthoff H (2001) Viewpoint dependence in visual and haptic object recognition. Psychol Sci 12:37–42
Nolt M, Kumbhani R, Palmer L (2007) Suppression at high spatial frequencies in the lateral geniculate nucleus of the cat. J Neurophysiol 98:1167–1180
Olshausen B, Field D (2005) How close are we to understanding v1? Neural Comput 17:1665–1699
Pasupathy A, Connor C (1999) Responses to contour features in macaque area V4. J Neurophysiol 82:2490–2502
Petrov Y, Carandini M, McKee S (2005) Two distinct mechanisms of suppression in human vision. J Neurosci 25:8704–8707
Pizlo Z (2008) 3D shape: its unique place in visual perception. MIT Press, Cambridge
Pizlo Z, Stevenson A (1999) Shape constancy from novel views. Percept Psychophys 61:1299–1307
Priebe N, Ferster D (2006) Mechanisms underlying cross-orientation suppression in cat visual cortex. Nat Neurosci 9:552–561
Purpura K, Mechler F, Schmid A, Ohiorhenuan I, Hu Q et al. (2007) Monocular correlates of 3d shape reduce suppression in V1 and V2 of macaques. Soc Neurosci Abstr 33:229.226
Rock I, Victor J (1964) Vision and touch: an experimentally created conflict between the two senses. Science 143:594–596
Roeber U, Wong E, Freeman A (2008) Cross-orientation interactions in human vision. J Vis 8(3):15 (11 pp)
Ross J, Speed H (1991) Contrast adaptation and contrast masking in human vision. Proc Biol Sci 246:61–69
Ross J, Speed H, Morgan M (1993) The effects of adaptation and masking on incremental thresholds for contrast. Vis Res 33:2051–2056
Sanger T (1996) Probability density estimation for the interpretation of neural population codes. J Neurophysiol 76:2790–2793
Schwartz O, Simoncelli E (2001) Natural signal statistics and sensory gain control. Nat Neurosci 4:819–825
Series P, Latham P, Pouget A (2004) Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations. Nat Neurosci 7:1129–1135
Sillito A (1979) Inhibitory mechanisms influencing complex cell orientation selectivity and their modification at high resting discharge levels. J Physiol 289:33–53
Simoncelli EP, Freeman WT (1995) The steerable pyramid: a flexible architecture for multi-scale derivative computation. In: IEEE second int’l conf on image processing, Washington DC
Smith M, Bair W, Movshon J (2006) Dynamics of suppression in macaque primary visual cortex. J Neurosci 26:4826–4834
Stein B, Stanford T (2008) Multisensory integration: current issues from the perspective of the single neuron. Nat Rev Neurosci 9:255–266
Stevens KA (1981) The visual interpretation of surface contours. Artif Intell 17:47–73
Violentyev A, Shimojo S, Shams L (2005) Touch-induced visual illusion. NeuroReport 16:1107–1110
Westheimer G (2003) Meridional anisotropia in visual processing: implications for the neural site of the oblique effect. Vis Res 43:2281–2289
Wittgenstein L (1953) Philosophical investigations. Blackwell, Hoboken
Wong C, Zaidi Q (2008) Matched filters for 3-d shape from Kernel-Based image analysis. Vision Sciences Society, annual meeting 2008
Yamane Y, Carlson E, Bowman K, Wang Z, Connor C (2008) A neural code for three-dimensional object shape in macaque inferotemporal cortex. Nat Neurosci 11:1352–1360
Zaidi Q, Li A (2002) Limitations on shape information provided by texture cues. Vis Res 42:815–835
Zaidi Q (2011) Visual inferences of material changes: color as clue and distraction. Cogn Sci 2(6):686–700
Acknowledgements
This work was supported by NEI grants EY07556 and EY 13312 to QZ.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag London
About this chapter
Cite this chapter
Zaidi, Q., Li, A., Wong, C., Cohen, E.H., Meng, X. (2013). Hard-Wired and Plastic Mechanisms in 3-D Shape Perception. In: Dickinson, S., Pizlo, Z. (eds) Shape Perception in Human and Computer Vision. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-5195-1_22
Download citation
DOI: https://doi.org/10.1007/978-1-4471-5195-1_22
Publisher Name: Springer, London
Print ISBN: 978-1-4471-5194-4
Online ISBN: 978-1-4471-5195-1
eBook Packages: Computer ScienceComputer Science (R0)