| Tanner, J.E. (1986) "Integrated Optical Motion Detection," Ph.D. Thesis, Computer Science Department, California Institute of Technology, Pasadena, CA. Technical Tanner, J.E. & C.A. Mead (1986) "An Integrated Optical Motion Sensor," VLSI Signal ProcJ---9HU II,(ProcNNJS8U November 5--7, UCLA, pp 59--76. |
....The peak correlation value at each pixel was detected by mutual inhibition among neighboring comparators, and the output was summed on a global bus. A later design by Tanner implemented a 2 D non clocked array of photosensors to compute optical flow by gradient descent on a feedback network [54], 55, Chapter 14] This system was limited to constant flow, as would arise from a pure translation parallel to the CHAPTER 2. METHODS FOR COMPUTING MOTION AND STRUCTURE 46 image plane. In this case the error function (2.55) to be minimized reduces to ffl 2 tot = Z Z (E x u E y v E t ) ....
....gradient descent will converge. If the derivatives are evaluated too far away from the correct point, the gradient will not point in the direction of the solution. It would thus be very difficult to implement this method in circuit form using analog networks as was done for optical flow by Tanner [54], and for finding the focus of expansion (FOE) by McQuirk [59] Furthermore, it should be added that the full power of this method is not needed for computing 3 D motion since a dense set of point correspondences is not required to solve the rigid body motion equations. 3.2 Gray level Correlation ....
John E. Tanner. Integrated Optical Motion Detection. PhD thesis, California Institute of Technology, 1986.
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Tanner, J.E. (1986) "Integrated Optical Motion Detection," Ph.D. Thesis, Computer Science Department, California Institute of Technology, Pasadena, CA. Technical Tanner, J.E. & C.A. Mead (1986) "An Integrated Optical Motion Sensor," VLSI Signal ProcJ---9HU II,(ProcNNJS8U November 5--7, UCLA, pp 59--76.
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