Delayed shape matching benefits from simplicity and symmetry

The aim of this study was to evaluate the influence of complexity and symmetry on shape recognition, by measuring the recognition of unfamiliar shapes (created using Fourier Boundary Descriptors, FBDs) through a delayed matching task. Between complexity levels the shapes differed in the frequency of the FBDs and within complexity levels in their phase. Shapes were calibrated to be physically equally similar for the different complexity levels. Matching two sequentially presented shapes was slower and less accurate when complexity increased and for asymmetrical compared to symmetrical versions of the shapes. Thus, we show that simplicity in general and symmetry in particular enhance the short-term recognition of unfamiliar shapes.

[1]  J. Cutting,et al.  Fractal curves and complexity , 1987, Perception & psychophysics.

[2]  J. Wagemans.  Toward a Better Approach to Goodness: Comments on Van der Helm and Leeuwenberg (1996) , 1999 .

[3]  W. Epstein,et al.  The status of the minimum principle in the theoretical analysis of visual perception. , 1985, Psychological bulletin.

[4]  Donald D. Hoffman,et al.  Codon constraints on closed 2D shapes , 1985, Computer Vision Graphics and Image Processing.

[5]  S. Edelman,et al.  Representation of object similarity in human vision: psychophysics and a computational model , 1998, Vision Research.

[6]  R. Luce,et al.  Effects of stimulus complexity on mental rotation rate of polygons. , 1987, Journal of experimental psychology. Human perception and performance.

[7]  J. Hochberg.  Effects of the Gestalt revolution: the Cornell symposium on perception. , 1957, Psychology Review.

[8]  A. Friedman,et al.  Shape discriminations of three-dimensional objects depend on the number and location of bends , 1994, Perception & psychophysics.

[9]  M. Tarr,et al.  To What Extent Do Unique Parts Influence Recognition Across Changes in Viewpoint? , 1995 .

[10]  Johan Wagemans,et al.  Characteristics and models of human symmetry detection , 1997, Trends in Cognitive Sciences.

[11]  J Wagemans,et al.  Perceptual use of nonaccidental properties. , 1992, Canadian journal of psychology.

[12]  Vision Research , 1961, Nature.

[13]  L. Cooper,et al.  Mental transformations and visual comparison processes: effects of complexity and similarity. , 1976, Journal of experimental psychology. Human perception and performance.

[14]  S. Edelman,et al.  Differential Processing of Objects under Various Viewing Conditions in the Human Lateral Occipital Complex , 1999, Neuron.

[15]  F. Attneave,et al.  The determination of perceived tridimensional orientation by minimum criteria , 1969 .

[16]  J. Wagemans,et al.  Segmentation of object outlines into parts: A large-scale integrative study , 2006, Cognition.

[17]  Shimon Edelman,et al.  Representation and recognition in vision , 1999 .

[18]  E. Leeuwenberg.  Quantitative specification of information in sequential patterns. , 1969, Psychological review.

[19]  Claus Bundesen,et al.  Visual pattern matching: Effects of size ratio, complexity, and similarity in simultaneous and successive matching , 1999 .

[20]  Johan Wagemans,et al.  The concavity effect is a compound of local and global effects , 2007, Perception & psychophysics.

[21]  R van Lier,et al.  Integrating Global and Local Aspects of Visual Occlusion , 1994, Perception.

[22]  I. Biederman,et al.  Representation of regular and irregular shapes in macaque inferotemporal cortex. , 2005, Cerebral cortex.

[23]  Ravi S. Menon,et al.  Differential Effects of Viewpoint on Object-Driven Activation in Dorsal and Ventral Streams , 2002, Neuron.

[24]  C. E. Bethell-Fox,et al.  Mental rotation: effects of stimulus complexity and familiarity , 1988 .

[25]  I. Biederman,et al.  Inferior Temporal Neurons Show Greater Sensitivity to Nonaccidental than to Metric Shape Differences , 2001, Journal of Cognitive Neuroscience.

[26]  R. Henson,et al.  Multiple levels of visual object constancy revealed by event-related fMRI of repetition priming , 2002, Nature Neuroscience.

[27]  S F Chipman,et al.  Complexity and structure in visual patterns. , 1977, Journal of experimental psychology. General.

[28]  E. Leeuwenberg,et al.  Goodness of visual regularities: a nontransformational approach. , 1996, Psychological review.

[29]  H. Barlow.  Vision Science: Photons to Phenomenology by Stephen E. Palmer , 2000, Trends in Cognitive Sciences.

[30]  B. Gibson,et al.  Must Figure-Ground Organization Precede Object Recognition? An Assumption in Peril , 1994 .

[31]  R. Vogels,et al.  Inferotemporal neurons represent low-dimensional configurations of parameterized shapes , 2001, Nature Neuroscience.

[32]  O. Reiser,et al.  Principles Of Gestalt Psychology , 1936 .

[33]  Irving Biederman,et al.  Pattern goodness and pattern recognition. , 1991 .

[34]  J. Hochberg,et al.  The effect of landmark features on mental rotation times , 1977, Memory & cognition.

[35]  I. Biederman,et al.  Tuning for shape dimensions in macaque inferior temporal cortex , 2005, The European journal of neuroscience.

[36]  Robert L. Goldstone.  Unitization during category learning. , 2000, Journal of experimental psychology. Human perception and performance.

[37]  D. Perkins,et al.  How Good a Bet is Good Form? , 1976, Perception.

[38]  K. Koffka.  Principles Of Gestalt Psychology , 1936 .

[39]  F. Attneave.  Some informational aspects of visual perception. , 1954, Psychological review.

[40]  I. Biederman,et al.  Recognizing depth-rotated objects: Evidence and conditions for three-dimensional viewpoint invariance. , 1993 .

[41]  L. Zusne.  Visual perception of form , 1970 .

[42]  E Leeuwenberg,et al.  The perception of foreground and background as derived from structural information theory. , 1984, Acta psychologica.

[43]  Helmut Leder,et al.  Just how stable are stable aesthetic features? Symmetry, complexity, and the jaws of massive familiarization. , 2009, Acta psychologica.

[44]  D. R. Brown,et al.  Discrimination and reproduction of patterns: Feature measures and constraint redundancy as predictors , 1969 .

[45]  J. Wagemans,et al.  Perceptual saliency of points along the contour of everyday objects: A large-scale study , 2008 .

[46]  Johan Wagemans,et al.  The effect of category learning on the representation of shape: dimensions can be biased but not differentiated. , 2003, Journal of experimental psychology. General.

[47]  J. Hochberg,et al.  A quantitative approach to figural "goodness". , 1953, Journal of experimental psychology.

[48]  J. M. Vanderplas,et al.  Complexity, association value, and practice as factors in shape recognition following paired associates training. , 1959, Journal of experimental psychology.

[49]  S. Marković,et al.  Symmetry, complexity and perceptual economy: Effects of minimum and maximum simplicity conditions , 2001 .

[50]  K. Grammer,et al.  Facial symmetry and judgements of attractiveness, health and personality , 2006 .

[51]  R. Cowie,et al.  The perception of structure , 1997 .

[52]  I. Biederman.  Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[53]  J. Wagemans,et al.  Detection of visual symmetries. , 1995, Spatial vision.

[54]  H. J. Clark.  Random shape recognition at brief exposure durations , 1968 .

[55]  Harrie F J M van Tuijl.  Perceptual interpretation of complex line patterns. , 1980 .

[56]  E. Leeuwenberg,et al.  Coding theory of visual pattern completion. , 1981, Journal of experimental psychology. Human perception and performance.

[57]  D. Donderi.  Visual complexity: a review. , 2006, Psychological bulletin.

[58]  T. Poggio,et al.  Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.

[59]  H. Intraub.  Conceptual masking: the effects of subsequent visual events on memory for pictures. , 1984, Journal of experimental psychology. Learning, memory, and cognition.

[60]  M. Behrmann,et al.  Impact of learning on representation of parts and wholes in monkey inferotemporal cortex , 2002, Nature Neuroscience.

[61]  J. Pellegrino,et al.  Stimulus complexity effects in visual comparisons: the effects of practice and learning context. , 1991, Journal of experimental psychology. Human perception and performance.

[62]  J. Wagemans.  Skewed symmetry: a nonaccidental property used to perceive visual forms. , 1993, Journal of experimental psychology. Human perception and performance.

[63]  J. Wagemans,et al.  From images to objects: Global and local completions of self-occluded parts , 1999 .

[64]  I. Biederman,et al.  Shape Tuning in Macaque Inferior Temporal Cortex , 2003, The Journal of Neuroscience.