Title :
Representation and extraction of image feature associated with maneuvering affordance
Author_Institution :
Fac. of Eng., Osaka Inst. of Technol., Japan
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.
Keywords :
Fourier analysis; feature extraction; fractals; noise; affordance pattern detectability; directional Fourier images; environment features; fractal attractors; image feature extraction; image feature representation; maneuvering affordance; mental maneuvering process; noisy imagery; probabilistic complexity analysis; unidentified self-similar pattern extraction; Computer vision; Feature extraction; Image restoration; Layout; Mobile robots; Noise level; Orbital robotics; Robot kinematics; Solid modeling; Visual perception;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195193
