Disparity patterns in a HMAX mode

In biologically motivated models for object segmentation and recognition, the ability to do stereo vision is often overlooked. Here I will present a model inspired by the ventral stream of the human visual cortex, which integrates disparity information of local features into a pattern recognition hierarchy.

The model will show that depth as a feature can be learned from disparity input and how disparity features can help us interpret certain corner cases of object shape. I will also show how disparity information may be bound to visual pattern information and how this relates to a possible, efficient solution of the binding problem between object information and position.

There will also be a real-time presentation of a partial model implementation.


Room Seminarraum 117, Robert-Hooke-Str. 5 in Bremen

In der Regel sind die Vorträge Teil von Lehrveranstaltungsreihen der Universität Bremen und nicht frei zugänglich. Bei Interesse wird um Rücksprache mit dem Sekretariat unter sek-ric(at)dfki.de gebeten.

last updated 31.03.2023
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