Using GNG to improve 3D feature extraction—Application to 6DoF egomotion
نویسندگان
چکیده
منابع مشابه
Using GNG to improve 3D feature extraction - Application to 6DoF egomotion
Several recent works deal with 3D data in mobile robotic problems, e.g. mapping or egomotion. Data comes from any kind of sensor such as stereo vision systems, time of flight cameras or 3D lasers, providing a huge amount of unorganized 3D data. In this paper, we describe an efficient method to build complete 3D models from a Growing Neural Gas (GNG). The GNG is applied to the 3D raw data and it...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2012
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2012.02.014