DocumentCode
697786
Title
Randomness-based integration of multi-viewpoint imagery for as-is roadway model generation
Author
Kamejima, Kohji
Author_Institution
Fac. of Inf. Sci. & Technol., Osaka Inst. of Technol., Hirakata, Japan
fYear
2009
fDate
24-28 Aug. 2009
Firstpage
730
Lastpage
734
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2009 17th European
Conference_Location
Glasgow
Print_ISBN
978-161-7388-76-7
Type
conf
Filename
7077358
Link To Document