Samuel Delepoulle

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The present functional magnetic resonance imaging (fMRI) study investigates the neural correlates of reachability judgements. In a block design experiment, 14 healthy participants judged whether a visual target presented at different distances in a virtual environment display was reachable or not with the right hand. In two control tasks, they judged the(More)
Growth chambers are used by agronomists for various experiments on plants. Because light impinging on plants is one of the main parameters of their growth, inhomogeneity in light reception can provide large bias in the experiments. In this paper we present the first steps of a framework which aims at computing the best locations of light sources that could(More)
In this paper, we present MAABAC, a generic model for building adaptive agents: they learn new behaviors by interacting with their environment. These agents adapt their behavior by way of reinforcement learning, namely temporal difference methods. MAABAC is presented in its generality and then, different instantiations of the generic model are presented and(More)
Growth chambers are used by agronomists for various experiments on plants. Because light impinging on plants is one of the main parameters of their growth, inhomogeneity in light reception can provide large bias in the experiments. In this paper we present the first steps of a framework which aims at computing the best locations of light sources that could(More)
Photorealistic lighting requires to use accurate rendering algorithms and realistic models of light sources. Photometric solids are provided by lighting designers in order to characterize the luminance distribution from real light sources. When accuracy is required the amount of discretized luminance directions and the number of photometric solids that have(More)
We study the evolution of social behaviors within a behav-ioral framework. To this end, we deene a \minimal social situation" that is experimented with both humans and simulations based on reinforcement learning algorithms. We analyse the dynamics of behaviors in this situation by way of operant conditioning. We show that the best reinforcement algorithm,(More)
A no-reference image quality metric detecting both blur and noise is proposed in this paper. The proposed metric is based on IFS2 entropy applied on computer-generated images and does not require any edge detection. Its value drops either when the test image becomes blurred or corrupted by random noise. It can be thought of as an indicator of the signal to(More)
Photorealistic lighting requires to use accurate rendering algorithms and realistic models of light sources. Photometric solids are provided by lighting designers in order to characterize the luminance distribution from real light sources. When accuracy is required the amount of discretized luminance directions and the number of photometric solids that have(More)
The aim of realistic image synthesis is to produce high fidelity images that authentically represent real scenes. As these images are produced for human observers, we may exploit the fact that not everything is perceived when viewing scene with our eyes. Thus, it is clear that taking advantage of the limited capacity of the human visual system (HVS), can(More)