By Simon Thorpe (auth.), Heinrich H. Bülthoff, Christian Wallraven, Seong-Whan Lee, Tomaso A. Poggio (eds.)

This booklet constitutes the refereed court cases of the second one foreign Workshop on Biologically inspired laptop imaginative and prescient, BMCV 2002, held in Tübingen, Germany, in November 2002.
The 22 revised complete papers and 37 revised brief papers awarded including 6 invited papers have been conscientiously reviewed and chosen from ninety seven submissions. The papers are prepared in topical sections on neurons and lines, movement, mid-level imaginative and prescient, reputation - from scenes to neurons, awareness, robotics, and cognitive vision.

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Additional info for Biologically Motivated Computer Vision: Second International Workshop, BMCV 2002 Tübingen, Germany, November 22–24, 2002 Proceedings

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This remarkable behaviour of the model results from the explicit involvement of the spatial organisation of orientation selective cells, or, in other words, the morphology of simple cells into the neural processing of visual signals. A proposition that morphology should have an important role in cognitive processing and intelligent behaviour stems from a new direction in AI. (see [20] for a more elaborate discussion of this point). Several case studies on simulation of intelligent behaviour, which exploit or even evolve the morphology of an agent, have shown the efficiency of this idea [21].

Fig. 8 clearly shows that new edges appear in the images as the model proceeds through iterative cycles. Weak spurious responses at the background vanish at later iterations, although this effect is not visible due to quality loss in the down-sized images. Fig. 6. Noisy input image and processing results after }st, 3"', and 5th iteration (top row) together with the corresponding cross sections taken at the centre of the images (bottom row). Responses to noise weaken noticeably as the model proceeds through iterative cycles.

6 shows the input image and the corresponding processing results after three different iterations. Responses to small contrast variations caused by noise are noticeably diminished after fifth iteration. Noise reduction is especially pronounced in the vicinity of sharp edges, where small responses are "cancelled out" by stronger responses that spread in the process of iterative tuning. In the second experiment we employ a natural image as an input to the model. Fig. 7 shows the input image and the processing result after 5'h iteration.

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