Title :
Randomness-based integration of multi-viewpoint imagery for as-is roadway model generation
Author_Institution :
Fac. of Inf. Sci. & Technol., Osaka Inst. of Technol., Hirakata, Japan
Abstract :
A new framework is presented for identifying roadway pattern in multi-viewpoint imagery. By applying fractal sampling to scene and satellite imagery, chromatic complexity of random texture is extracted and adapted for multi-viewpoint association. The feasibility of the framework is investigated through experimental studies.
Keywords :
fractals; image sampling; image texture; object recognition; traffic engineering computing; as-is roadway model generation; chromatic complexity; fractal sampling; multiviewpoint association; multiviewpoint imagery; random texture extraction; randomness-based integration; roadway pattern identification; satellite imagery; scene imagery; Adaptation models; Aerospace electronics; Fractals; Image segmentation; Satellites; Vehicles; Visualization;
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7
