Adaptation of Gabor filters for simulation of human preattentive mechanism for a mobile robot

Naren Kulkarni; Golshah A. Naghdy

doi:10.1117/12.150164

20 August 1993 Adaptation of Gabor filters for simulation of human preattentive mechanism for a mobile robot

Naren Kulkarni, Golshah A. Naghdy

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150164
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

Vision guided mobile robot navigation is complex and requires analysis of tremendous amounts of information in real time. In order to simplify the task and reduce the amount of information, human preattentive mechanism can be adapted [Nag90]. During the preattentive search the scene is analyzed rapidly but in sufficient detail for the attention to be focused on the `area of interest.' The `area of interest' can further be scrutinized in more detail for recognition purposes. This `area of interest' can be a text message to facilitate navigation. Gabor filters and an automated turning mechanism are used to isolate the `area of interest.' These regions are subsequently processed with optimal spatial resolution for perception tasks. This method has clear advantages over the global operators in that, after an initial search, it scans each region of interest with optimum resolution. This reduces the volume of information for recognition stages and ensures that no region is over or under estimated.

Citation Download Citation

Naren Kulkarni and Golshah A. Naghdy "Adaptation of Gabor filters for simulation of human preattentive mechanism for a mobile robot", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150164

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