Biologically Motivated Novel Localization Paradigm by High-Level Multiple Object Recognition in Panoramic Images

Title
Biologically Motivated Novel Localization Paradigm by High-Level Multiple Object Recognition in Panoramic Images
Author(s)
김성호심민섭
Keywords
Article; body position; data base; directional vision; human; image processing; image quality; learning; motivation; normal distribution; pattern recognition; robotics; training; visual orientation; visual system
Issue Date
201509
Citation
Scientific World Journal, v.2015
Abstract
This paper presents the novel paradigm of a global localization method motivated by human visual systems (HVSs). HVSs actively use the information of the object recognition results for self-position localization and for viewing direction. The proposed localization paradigm consisted of three parts: panoramic image acquisition, multiple object recognition, and grid-based localization. Multiple object recognition information from panoramic images is utilized in the localization part. High-level object information was useful not only for global localization, but also for robot-object interactions. The metric global localization (position, viewing direction) was conducted based on the bearing information of recognized objects from just one panoramic image. The feasibility of the novel localization paradigm was validated experimentally. Copyright ? 2015 Sungho Kim and Min-Sheob Shim.
URI
http://hdl.handle.net/YU.REPOSITORY/30951http://dx.doi.org/10.1155/2015/465290
ISSN
2356-6140
Appears in Collections:
공과대학 > 전자공학과 > Articles
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