Computational Modelling Group

Dr Arthur Lugtigheid

Psychology (FSHS)
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I study human visual perception, in particular how the brain uses different (ambiguous) sources of sensory information and past experiences to recover the three-dimensional structure of our world. My previous work investigated the role of extraretinal signals (e.g. vergence eye movements) in estimating (i) 3D speed and (ii) depth under diplopia.

My work at the University of Southampton with Dr. Wendy Adams investigates how the visual system exploits natural scene statistics to estimate surface attitude and 3D shape. To study this, we use two strategies. First, we capture the structure and light patterns of natural environments, we quantify their structures and determine which scene configurations we are most likely to encounter. Second, we do behavioural experiments to see if human observers take these statistics into account when they judge surface orientation.

Our team uses Iridis in a number of ways, but the two main tasks we exploit the supercomputer for are (1) the analysis of our point cloud data — about 4 million points per scene— and (2) modeling of psychophysical (behavioural) data.


Example data from our natural scene database. The top figure shows the range map of the scene, the bottom figure shows the (HDR) image data for that same scene.