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1

Is depth information and optical flow helpful for visual control?

Hansen J., Ebner M.

Bio-Algorithms and Med-Systems

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2016

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Vol. 12, no. 1

9--18

EN

The human visual system was shaped through natural evolution. We have used artificial evolution to investigate whether depth information and optical flow are helpful for visual control. Our experiments were carried out in simulation. The task was controlling a simulated racing car. We have used The Open Racing Car Simulator for our experiments. Genetic programming was used to evolve visual algorithms that transform input images (color, optical flow, or depth information) to control commands for a simulated racing car. We found that significantly better solutions were found when color, depth, and optical flow were available as input together compared with color, depth, or optical flow alone.

2

Depth map color constancy

Ebner M., Hansen J.

Bio-Algorithms and Med-Systems

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2013

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Vol. 9, no. 4

167--177

EN

A human observer is able to determine the color of objects independent of the light illuminating these objects. This ability is known as color constancy. In the first stages of visual information processing, data are analyzed with respect to wavelength composition, orientation, motion, and depth. With this contribution, we investigate whether depth information can help in estimating the color of the objects. We assume that local space average color is computed in V4 through resistively coupled neurons to estimate the color of the illuminant. We show how this computational model can be extended to incorporate depth information.

3

Sets, Sentences, and Some Logics about Imperatives

Hansen J.

Fundamenta Informaticae

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2001

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Vol. 48, nr 2,3

205-226

EN

Though deontic logic is regarded as the logic of normative reasoning, norms - as entities lacking truth values - are usually represented neither in its language nor its semantics. Limiting ourselves to unconditional imperatives, we propose a concept for their semantic representation and show that existing systems of monadic and dyadic deontic logic can be reconstructed accordingly.