A Hierarchical Model of Complex Cells in Visual Cortex for the Binocular Perception of Motion-in-Depth

A cortical model for motion-in-depth selectivity of complex cells in the visual cortex is proposed. The model is based on a time extension of the phase-based techniques for disparity estimation. We consider the computation of the total temporal derivative of the time-varying disparity through the combination of the responses of disparity energy units. To take into account the physiological plausibility, the model is based on the combinations of binocular cells characterized by different ocular dominance indices. The resulting cortical units of the model show a sharp selectivity for motion-in-depth that has been compared with that reported in the literature for real cortical ceils.

[1]  E H Adelson,et al.  Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[2]  David J. Fleet,et al.  Phase-based disparity measurement , 1991, CVGIP Image Underst..

[3]  Ning Qian,et al.  Relationship Between Phase and Energy Methods for Disparity Computation , 2000, Neural Computation.

[4]  G A Orban,et al.  Selectivity of cat area 18 neurons for direction and speed in depth. , 1990, Journal of neurophysiology.

[5]  David J. Fleet,et al.  Neural encoding of binocular disparity: Energy models, position shifts and phase shifts , 1996, Vision Research.

[6]  Julie M. Harris,et al.  Speed discrimination of motion-in-depth using binocular cues , 1995, Vision Research.

[7]  Y Chen,et al.  Modeling V1 disparity tuning to time-varying stimuli. , 2001, Journal of neurophysiology.

[8]  I. Ohzawa,et al.  Encoding of binocular disparity by complex cells in the cat's visual cortex. , 1996, Journal of neurophysiology.