R. A. Deutschmann and C. Koch. Compact real-time 2-D gradient-based analog VLSI motion sensor. Int. conf. on advanced focal plane arrays and electronic cameras, 1998. Home/Search Document Details and Download
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An Efficient Neuromorphic Analog Network For Motion Estimation - Torralba, Herault (1999) (Correct)
....to be robust in the face of noise and aliasing, they give reliable measurements of velocity and they allow an easy treatment of the aperture problem. However, due to the complexity of implementing a battery of spatiotemporal filters, current VLSI motion chips use gradient based algorithms [24] [6] or correlation based algorithms [12] 7] 9] as they can be implemented within very compact circuits. In this paper we present a new energy based algorithm that significantly minimizes the complexity of these kinds of methods. The reduction of complexity is due to: 1) the use of a new wideband ....
R. A. Deutschmann and C. Koch. Compact real-time 2-D gradient-based analog VLSI motion sensor. In Int. conf. on advancedfocal plane arrays and electronic cameras, 1998.
Analogue Architectures for Vision: Cellular Neural Networks and.. - Torralba (1999) (Correct)
....are known to be robust to noise and aliasing, they give reliable measurements of velocity and they allow an easy treatment of the 41 aperture problem. However, due to the complexity of implementing a battery of spatiotemporal filters, current VLSI motion chips use gradient based algorithms [82, 24] or correlation based algorithms [46, 25, 33] as they can be implemented within very compact circuits. In this chapter we present energy based algorithm that significantly minimizes the complexity of these kinds of methods. The reduction of complexity is due to: 1) the use of a new wideband ....
....is computed as the shift that yields the best fit between image regions at different times. ffl Gradient based: They compute velocity from spatiotemporal derivatives of image intensity [37] Implementations on VLSI yield to circuits with high sensibility to noise and spatiotemporal aliasing [24, 82]. ffl Energy based: They compute velocity by combination of the energy outputs of a set of spatiotemporal filters tuned to several velocities or spatiotemporal frequencies [30, 31] ffl Correlation based: velocity is obtained by combining the output of motion sensors based on the correlation of ....
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R. A. Deutschmann and C. Koch. Compact real-time 2-D gradient-based analog VLSI motion sensor. Int. conf. on advanced focal plane arrays and electronic cameras, 1998.
Compressive Computation in Analog VLSI Motion Sensors - Deutschmann, Wenisch (1998) (1 citation) Self-citation (Deutschmann) (Correct)
.... of the so called gradient model, which yields velocity independent of spatial frequency and contrast, has been reported [DK98a] The Gradient2d sensor implements an even simpler model for computing the motion vector field (u x ; u y ) by multiplying temporal and spatial derivatives [DK98b]: u x = u o I t tanh I x (1) u y = u o I t tanh I y (2) where I(x; y; t) is the light intensity distribution on the focal plane, I= x and I= y are both spatial derivatives, I= t is the temporal derivative, u o and are constants. The spatial derivatives are ....
R. A. Deutschmann and C. Koch. Compact real-time 2-D gradient based analog VLSI motion sensor. In Proc. International Conference on Advanced Focal Plane Arrays and Electronic Cameras AFPAEC'98 Zurich, 1998.
Analogue Architectures for Vision: Cellular Neural Networks and.. - Torralba (1999) (Correct)
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R. A. Deutschmann and C. Koch. Compact real-time 2-D gradient-based analog VLSI motion sensor. Int. conf. on advanced focal plane arrays and electronic cameras, 1998.
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