Recognizing depth-rotated objects: Evidence and conditions for three-dimensional viewpoint invariance.

Five experiments on the effects of changes of depth orientation on (a) priming the naming of briefly flashed familiar objects, (b) matching individual sample volumes (geons), and (c) classifying unfamiliar objects (that could readily be decomposed into an arrangement of distinctive geons) all revealed immediate (i.e.. not requiring practice) depth invariance. The results can be understood in terms of 3 conditions derived from a model of object recognition (I. Biederman, 1987; J. E. Hummel & I. Biederman, 1992) that have to be satisfied for immediate depth invariance: (a) that the stimuli be capable of activating viewpoint-invariant (e.g., geon) structural descriptions (GSDs), (b) that the GSDs be distinctive (different) for each stimulus, and (c) that the same GSD be activated in original and tested views. The stimuli used in several recent experiments documenting extraordinary viewpoint dependence violated these conditions. Consider Figure 1. The viewer readily appreciates that it shows two different views of the same object, despite myriad differences in the two silhouettes and in the local image features (namely, vertices, lines, and length and curvature of these lines). In general, people typically evidence little difficulty in recognizing a familiar object when they view that object from a different perspective in depth.

[1]  J. Beck Perceptual grouping produced by line figures , 1967 .

[2]  Irvin Rock,et al.  Orientation and form , 1974 .

[3]  Dave Bartram,et al.  The role of visual and semantic codes in object naming , 1974 .

[4]  W. Kintsch,et al.  Memory and cognition , 1977 .

[5]  Leslie G. Ungerleider Two cortical visual systems , 1982 .

[6]  R. Mansfield,et al.  Analysis of visual behavior , 1982 .

[7]  R. Shepard,et al.  Mental Images and Their Transformations , 1982 .

[8]  Stephen M. Kosslyn,et al.  Pictures and names: Making the connection , 1984, Cognitive Psychology.

[9]  P. Jolicoeur The time to name disoriented natural objects , 1985, Memory & cognition.

[10]  I. Biederman,et al.  Sexing day-old chicks: A case study and expert systems analysis of a difficult perceptual-learning task. , 1987 .

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

[12]  Rob Ellis,et al.  Multiple levels of representation for visual objects: a behavioural study , 1987 .

[13]  I. Rock,et al.  A case of viewer-centered object perception , 1987, Cognitive Psychology.

[14]  A. Treisman Features and Objects: The Fourteenth Bartlett Memorial Lecture , 1988, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[15]  S. Ullman Aligning pictorial descriptions: An approach to object recognition , 1989, Cognition.

[16]  S. Edelman,et al.  Stimulus Familiarity Determines Recognition Strategy for Novel 3D Objects , 1989 .

[17]  Michael J. Tarr,et al.  Orientation dependence in three-dimensional object recognition , 1989 .

[18]  I. Rock,et al.  Can we imagine how objects look from other viewpoints? , 1989, Cognitive Psychology.

[19]  F. Girosi,et al.  Networks for approximation and learning , 1990, Proc. IEEE.

[20]  T. Poggio,et al.  A network that learns to recognize three-dimensional objects , 1990, Nature.

[21]  Jan J. Koenderink,et al.  Solid shape , 1990 .

[22]  Kevin W. Bowyer,et al.  Computing the orthographic projection aspect graph of solids of revolution , 1990, Pattern Recognit. Lett..

[23]  I. Biederman,et al.  Evidence for Complete Translational and Reflectional Invariance in Visual Object Priming , 1991, Perception.

[24]  I. Biederman,et al.  Priming contour-deleted images: Evidence for intermediate representations in visual object recognition , 1991, Cognitive Psychology.

[25]  Heinrich H. Bülthoff,et al.  Psychophysical support for a 2D view interpolation theory of object recognition , 1991 .

[26]  S. Edelman,et al.  Orientation dependence in the recognition of familiar and novel views of three-dimensional objects , 1992, Vision Research.

[27]  G. Humphrey,et al.  Recognizing novel views of three-dimensional objects. , 1992, Canadian journal of psychology.

[28]  I Biederman,et al.  Metric invariance in object recognition: a review and further evidence. , 1992, Canadian journal of psychology.

[29]  I. Biederman,et al.  Size invariance in visual object priming , 1992 .

[30]  I. Biederman,et al.  Dynamic binding in a neural network for shape recognition. , 1992, Psychological review.

[31]  T. Poggio,et al.  Recognition and Structure from one 2D Model View: Observations on Prototypes, Object Classes and Symmetries , 1992 .

[32]  Stephen W. Kohlmeyer Picture Perception Lab: A program for picture perception experiments on the Macintosh II , 1992 .

[33]  Azriel Rosenfeld,et al.  From volumes to views: An approach to 3-D object recognition , 1992, CVGIP Image Underst..

[34]  E. E. Cooper Metric versus viewpoint-invariant shape differences in visual object recognition , 1993 .

[35]  Kavitha Srinivas Perceptual specificity in nonverbal priming. , 1993 .

[36]  C. B. Cave,et al.  The Role of Parts and Spatial Relations in Object Identification , 1993, Perception.

[37]  Heinrich H. Bülthoff,et al.  Recognition of symmetric 3D objects , 1993 .

[38]  S. Kosslyn Image and Brain: The Resolution of the Imagery Debate , 1994, Journal of Cognitive Neuroscience.

[39]  S. Kosslyn,et al.  Wet Mind: The New Cognitive Neuroscience , 1995 .

[40]  Daphna Weinshall,et al.  A self-organizing multiple-view representation of 3D objects , 2004, Biological Cybernetics.

[41]  J. R. Thomas,et al.  Artificial intelligence and its applications , 1987 .