This paper presents a texture-based pattern recognition scheme for Sony robots in the RoboCup domain. Spatial frequency domain algorithms are adopted and tested ...
This paper presents a texture-based pattern recognition scheme for Sony robots in the RoboCup domain. Spatial frequency domain algorithms are adopted and tested ...
This paper presents a texture-based pattern recognition scheme for Sony robots in the RoboCup domain. Spatial frequency domain algorithms are adopted and tested ...
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Bo Li, Huosheng Hu: Texture-Based Pattern Recognition Algorithms for the RoboCup Challenge. RoboCup 2003: 611-620; 2001.
Texture-based Pattern Recognition Algorithms for the RoboCup Challenge. Huosheng Hu. An Open Robot Simulation Environment. Toshiyuki Ishimura. Case based game ...
We introduce a new modulation domain texture segmentation algorithm. The approach begins by constructing a dominant component AM-FM image model, ...
A post-processing algorithm is presented which increases the classification accuracy of an initial pixel-by-pixel scheme and employs a majority decision ...
A novel breakpoint detection algorithm is proposed to distinguish the tiles fallen onto divertor of the EAST from other normal tiles with same texture and ...
Missing: RoboCup | Show results with:RoboCup
Accurate texture classification empowers robots to improve their perception and comprehension of the environment, enabling informed decision-making and ...
Jun 9, 2022 · The highest prediction rate of 90% is achieved for line texture pattern. The neural network has sufficient accuracy in texture recognition.