Get Biologically Motivated Computer Vision: Second International PDF

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

This booklet constitutes the refereed lawsuits 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, acceptance - from scenes to neurons, realization, robotics, and cognitive vision.

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

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1:68-81. , Alexander Barlit, and Evgeny Zubkov Fraunhofer Institute for Media Communication, Schloss Birlinghoven, D-53754 Sankt-Augustin, Germany Abstract. This work describes a novel model for orientation tuning of simple cells in VI. The model has been inspired by a regular structure of simple cells in the visual primary cortex of mammals. Two new features distinguish the model: the iterative processing of visual inputs; and amplification of tuned responses of spatially close simple cells.

3. Section 3 concludes the paper. 2 A Neural Model for Corner and Junction Detection Corner and junction configurations can be characterized by high responses for two or more orientations at a particular point in the visual space. A cortical hypercolumn is the neural representation for orientated responses at a particular point. Corners and junctions are thus characterized by significant activity of multiple neurons within a hypercolumn. Multiple oriented activities as measured by a simple feed forward mechanism are sensitive to noisy signal variations.

The ramp profile processed by the ON and OFF pathways. Left: the complementary profiles of the ON and OFF ganglion cells. Centre: the responses of the ON and OFF subfields overlap in the range of about 3 pixels. Right: the responses of simple cells after cross-channel interaction are sharpened in the area where R and L overlap. 2 0 20 4 8 16 20 Fig. 5. Enhancement of the weak response at subsequent iterations. Left: input profile. Right: response S (Eq. 4) after 1", 3"', and 5th iteration. The initially stronger response on the left decreases over iterations whereas the weaker response on the right is advantageously enhanced.

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