DocumentCode
393419
Title
Representation and extraction of image feature associated with maneuvering affordance
Author
Kamejima, Kohji
Author_Institution
Fac. of Eng., Osaka Inst. of Technol., Japan
Volume
1
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
106
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;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195193
Filename
1195193
Link To Document