Title :
Complexity-based integration of multi-viewpoint imagery for as-is roadway map generation
Author_Institution :
Fac. of Inf. Sci. & Technol., Osaka Inst. of Technol., Osaka, Japan
Abstract :
A new framework is presented for identifying objects 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 :
cartography; feature extraction; image sampling; image texture; object recognition; as-is roadway map generation; chromatic complexity; complexity-based integration; fractal sampling; multiviewpoint association; multiviewpoint imagery; object identification; random texture extraction; satellite imagery; Complexity theory; Europe; Fractals; Global Positioning System; Image segmentation; Object segmentation; Satellites;
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
