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• W2337676837 abstract "Semantic visual perception for knowledge acqui- sition plays an important role in human cognition, as well as in the many tasks of cognitive robot. In this paper, we present a vision system designed for indoor mobile robotic systems. Inspired by recent studies on holistic scene understanding, we generate spatial information in the scene by considering plane estimation and stereo line detection coherently within a unified probabilistic framework, and indicate how the resultant spatial information can be used for facilitating more accurate visual perception and reasoning visual elements in the scene. We also demonstrate how the proposed system facilitates and increase the robustness of, two robotics applications - visual attention and continuous learning. Experiments demonstrate that our system provides plausible representation of visual objects as well as accurate spatial layout of the scene." @default.
• W2337676837 created "2016-06-24" @default.
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• W2337676837 date "2013-01-01" @default.
• W2337676837 modified "2023-09-27" @default.
• W2337676837 title "From holistic scene understanding to semantic visual perception: A vision system for mobile robot" @default.
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• W2337676837 hasPublicationYear "2013" @default.
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