On the sufficiency of the velocity field for perception of heading

All models of self-motion from optical flow assume the instantaneous velocity field as input. We tested this assumption for human observers using random-dot displays that simulated translational and circular paths of movement by manipulating the lifetime and displacement of individual dots. For translational movement, observers were equally accurate in judging direction of heading from a “velocity field” with a two-frame dot life and a “direction field” in which the magnitudes of displacement were randomized while the radial pattern of directions was preserved, but at chance with a “speed field” in which the directions were randomized, preserving only magnitude. Accuracy declined with increasing noise in vector directions, but remained below 2.6° with a 90° noise envelope. Thus, the visual system uses the radial morphology of vector directions to determine translational heading and can tolerate large amounts of noise in this pattern. For circular movement, observers were equally accurate with a 2-frame “velocity field”, 3-frame “acceleration” displays, and 2-frame and 3-frame “direction fields”, consistent with the use of the pattern of vector directions to locate the center of rotation. The results indicate that successive independent velocity fields are sufficient for perception of translational and circular heading.

[1]  W. Warren,et al.  Perception of translational heading from optical flow. , 1988, Journal of experimental psychology. Human perception and performance.

[2]  Nicholas G. Hatsopoulos,et al.  Visual navigation with a neural network , 1991, Neural Networks.

[3]  Scott N. J. Watamaniuk,et al.  Direction Perception in Complex Dynamic Displays: the Integration of Dir~~tion Information , 1988 .

[4]  Keiji Tanaka,et al.  Integration of direction signals of image motion in the superior temporal sulcus of the macaque monkey , 1986, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  Thomas S. Huang,et al.  Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Thomas S. Huang,et al.  Estimating three-dimensional motion parameters of a rigid planar patch, III: Finite point correspondences and the three-view problem , 1984 .

[7]  Daryl T. Lawton,et al.  Processing translational motion sequences , 1983, Comput. Vis. Graph. Image Process..

[8]  Guy A. Orban,et al.  The role of direction information in the perception of geometric optic flow components , 1990, Perception & psychophysics.

[9]  David N. Lee,et al.  Visual control of locomotion. , 1977, Scandinavian journal of psychology.

[10]  Salamon Eskinazi,et al.  Principles of Fluid Mechanics , 1962 .

[11]  D J Hannon,et al.  Eye movements and optical flow. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[12]  G A Orban,et al.  The Importance of Velocity Gradients in the Perception of Three-Dimensional Rigidity , 1990, Perception.

[13]  H. C. Longuet-Higgins,et al.  The interpretation of a moving retinal image , 1980, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[14]  J H Rieger,et al.  Information in optical flows induced by curved paths of observation. , 1983, Journal of the Optical Society of America.

[15]  Berthold K. P. Horn,et al.  Passive navigation , 1982, Computer Vision Graphics and Image Processing.

[16]  K. Tanaka,et al.  Underlying mechanisms of the response specificity of expansion/contraction and rotation cells in the dorsal part of the medial superior temporal area of the macaque monkey. , 1989, Journal of neurophysiology.

[17]  Hans-Hellmut Nagel,et al.  On the Estimation of Optical Flow: Relations between Different Approaches and Some New Results , 1987, Artif. Intell..

[18]  H. Rodman,et al.  Coding of visual stimulus velocity in area MT of the macaque , 1987, Vision Research.

[19]  H C Longuet-Higgins,et al.  The visual ambiguity of a moving plane , 1984, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[20]  A. W. Blackwell,et al.  Perception of circular heading from optical flow. , 1991 .

[21]  K. Nakayama,et al.  Optical Velocity Patterns, Velocity-Sensitive Neurons, and Space Perception: A Hypothesis , 1974, Perception.

[22]  Allen M. Waxman,et al.  Surface Structure and Three-Dimensional Motion from Image Flow Kinematics , 1985 .

[23]  Shahriar Negahdaripour,et al.  A direct method for locating the focus of expansion , 1989, Comput. Vis. Graph. Image Process..

[24]  A. Verri,et al.  Mathematical properties of the two-dimensional motion field: from singular points to motion parameters , 1989 .

[25]  Thurston Dart,et al.  The Interpretation of Music , 1955 .

[26]  Edmund Whittaker,et al.  A Treatise on the Analytical Dynamics of Particles and Rigid Bodies: THE REDUCTION OF THE PROBLEM OF THREE BODIES , 1988 .

[27]  Andrea J. van Doorn,et al.  Invariant Properties of the Motion Parallax Field due to the Movement of Rigid Bodies Relative to an Observer , 1975 .

[28]  K. Prazdny,et al.  Egomotion and relative depth map from optical flow , 2004, Biological Cybernetics.

[29]  Jan J. Koenderink,et al.  Local structure of movement parallax of the plane , 1976 .

[30]  R. Hetherington The Perception of the Visual World , 1952 .

[31]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[32]  Robert Sekuler,et al.  Coherent global motion percepts from stochastic local motions , 1984, Vision Research.

[33]  J. Gibson The perception of the visual world , 1951 .

[34]  E. Reed The Ecological Approach to Visual Perception , 1989 .

[35]  A. W. Blackwell,et al.  Perception of circular heading from optical flow. , 1991, Journal of experimental psychology. Human perception and performance.

[36]  Thomas S. Huang,et al.  Estimating three-dimensional motion parameters of a rigid planar patch , 1981 .

[37]  Allan D. Jepson,et al.  Visual Perception of Three-Dimensional Motion , 1990, Neural Computation.

[38]  Daniel J. Hannon,et al.  Direction of self-motion is perceived from optical flow , 1988, Nature.

[39]  K. Prazdny Determining The Instantaneous Direction Of Motion From Optical Flow Generated By A Curvilinearly Moving Observer , 1981, Other Conferences.

[40]  J. H. Rieger,et al.  Human visual navigation in the presence of 3-D rotations , 1985, Biological Cybernetics.