Representation and Extraction of Image Feature Associated with Maneuvering Affordance

Kohji Kamejima

doi:10.11499/sicep.2002.0.24.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.24.0

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Representation and Extraction of Image Feature Associated with Maneuvering Affordance

Kohji Kamejima

Author information

Keywords: Maneuvering Affordance, Directional Fourier Image, Environment Features, Noise Level Estimation, Fractal Pattern Detection

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 24

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Abstract

A detection scheme is presented for maneuvering affordance in noisy imagery. Under the assumption that image features to be observed are generated as fractal attractors induced by mental maneuvering process, environment features are represented in directional Fourier images. For extracting not-yet-identified self-similar pattern, noise level is estimated based on probabilistic complexity analysis. The detectability of affordance patterns has been verified through experimental studies.

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