Oculo-motor stabilization reflexes: integration of inertial and visual information

STABILIZATION OF GAZE IS A FUNDAMENTAL REQUIREMENT OF AN ACTIVE VISUAL SYSTEM FOR AT LEAST TWO REASONS: (i) to increase the robustness of dynamic visual measures during observer's motion; (ii) to provide a reference with respect to the environment ([Ballard and Brown, 1992]). The aim of this paper is to address the former issue by investigating the role of integration of visuo-inertial information in gaze stabilization. The rationale comes from observations of how the stabilization problem is solved in biological systems and experimental results based on an artificial visual system equipped with space-variant visual sensors and an inertial sensor are presented. In particular the following issues are discussed: (i) the relations between eye-head geometry, fixation distance and stabilization performance; (ii) the computational requirements of the visuo-inertial stabilization approach compared to a visual stabilization approach; (iii) the evaluation of performance of the visuo-inertial strategy in a real-time monocular stabilization task. Experiments are performed to quantitatively describe the performance of the system with respect to different choices of the principal parameters. The results show that the integrated approach is indeed valuable: it makes use of visual computational resources more efficiently, extends the range of motions or external disturbances the system can effectively deal with, and reduces system complexity.

[1]  F. A. Miles,et al.  Vergence eye movements in response to binocular disparity without depth perception , 1997, Nature.

[2]  Frederick A. Miles,et al.  The Sensing of Optic Flow by the Primate Optokinetic System , 1995 .

[3]  G D Paige,et al.  Linear vestibulo-ocular reflex (LVOR) and modulation by vergence. , 1991, Acta oto-laryngologica. Supplementum.

[4]  L. Snyder,et al.  Effect of viewing distance and location of the axis of head rotation on the monkey's vestibuloocular reflex. I. Eye movement responses. , 1992, Journal of neurophysiology.

[5]  J. Quinn,et al.  Accelerometer based line-of-sight stabilization approach for pointing and tracking systems , 1993, Proceedings of IEEE International Conference on Control and Applications.

[6]  Hugh F. Durrant-Whyte,et al.  Inertial navigation systems for mobile robots , 1995, IEEE Trans. Robotics Autom..

[7]  Jan-Olof Eklundh,et al.  Integrating primary ocular processes , 1992, Image Vis. Comput..

[8]  J A Michael,et al.  Dependence of visual tracking capability upon stimulus predictability. , 1966, Vision research.

[9]  C. Busettini,et al.  Radial optic flow induces vergence eye movements with ultra-short latencies , 1997, Nature.

[10]  Rodney A. Brooks,et al.  Behavior-based humanoid robotics , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[11]  C. Busettini,et al.  A role for stereoscopic depth cues in the rapid visual stabilization of the eyes , 1996, Nature.

[12]  I. Donaldson Control of gaze by brain stem neurons Proceedings of the symposium held in the Abbaye de Royaumont. Paris 12–15 July, 1977.Developments in Neuroscience, vol. 1.R. Baker &A. Berthoz (eds). Elsevier/North Holland Biomedical Press, Amsterdam (1977). 514 + xv pp., $59.95 , 1978, Neuroscience.

[13]  Christopher M. Brown,et al.  Intelligent gaze control in binocular vision , 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

[14]  V. J. Wilson,et al.  Mammalian Vestibular Physiology , 1979, Springer US.

[15]  Carl F. R. Weiman Binocular stereo via log-polar retinas , 1995, Defense, Security, and Sensing.

[16]  侯一平 关于神经科学原理(PRINCIPLES OF NEUROSCIENCE)课程的介绍 , 2000 .

[17]  F A Miles,et al.  Ocular responses to linear motion are inversely proportional to viewing distance. , 1989, Science.

[18]  F. Thorn,et al.  Compensatory eye movements during active head rotation for near targets: effects of imagination, rapid head oscillation and vergence , 1987, Vision Research.

[19]  V. Sundareswaran Egomotion from global flow field data , 1991, Proceedings of the IEEE Workshop on Visual Motion.

[20]  J J Koenderink,et al.  Affine structure from motion. , 1991, Journal of the Optical Society of America. A, Optics and image science.

[21]  Giulio Sandini,et al.  Space variant imaging , 1995 .

[22]  David W. Murray,et al.  A modular head/eye platform for real-time reactive vision Mechatronics , 1993 .

[23]  F E Guedry,et al.  Response of semicircular canal dependent units in vestibular nuclei to rotation of a linear acceleration vector without angular acceleration , 1970, The Journal of physiology.

[24]  T. Sejnowski,et al.  A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex , 1995, NIPS 1995.

[25]  E. L. Keller,et al.  Gain of the vestibulo-ocular reflex in monkey at high rotational frequencies , 1978, Vision Research.

[26]  Giulio Sandini,et al.  Time to contact computation with a space-variant retina-like C-mos sensor , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[27]  Olivier Faugeras,et al.  Computation of inertial information on a Robot , 1991 .

[28]  H Collewijn,et al.  Vestibulo‐ocular and optokinetic reactions to rotation and their interaction in the rabbit , 1974, The Journal of physiology.

[29]  Y. J. Tejwani,et al.  Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.

[30]  Dana H. Ballard,et al.  Principles of animate vision , 1992, CVGIP Image Underst..

[31]  F. Ferrari,et al.  Space variant sensing , 1995 .