DocumentCode :
3292566
Title :
Photo-geometric registration via a coupled L filter
Author :
Imran, Saad Ali ; Aouf, Nabil ; Richardson, Mark
Author_Institution :
Dept. of Inf. & Syst. Eng., Cranfield Univ., Swindon, UK
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
1193
Lastpage :
1198
Abstract :
Presented is a coupled L filter capable of simultaneously estimating model parameters for photo-geometric registration between two (or more) images. We also introduce a colour code based clustering technique to group features for fast and reliable matching. This technique is based on the CIE colour model and is invariant to illumination changes. An increase in speed of almost 2 times is observed when constructing image mosaics from colour codes. We show that our filter estimates both the geometric and photometric models at the same time with low projection error. Furthermore, we show that our filter outperforms non-linear optimisation techniques.
Keywords :
image colour analysis; image matching; image registration; image segmentation; optimisation; photometry; CIE colour model; clustering technique; colour code; coupled L filter; estimating model parameters; geometric models; group features; image mosaics; nonlinear optimisation; photo-geometric registration; photometric models; reliable matching; Clustering algorithms; Encoding; Feature extraction; Image coding; Image color analysis; Matched filters; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ROBIO.2013.6739626
Filename :
6739626
Link To Document :
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