Open AccessCan Feature Points Be Used with Low Resolution Disparate Images? - Application to Postcard Data Set for 4D City Modeling
Author(s) -
Lara Younes,
Barbara Romaniuk,
E. Edward Bittar
Publication year - 2013
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0004302304810486
Subject(s) - computer science , feature (linguistics) , data set , set (abstract data type) , artificial intelligence , low resolution , pattern recognition (psychology) , computer vision , feature extraction , resolution (logic) , high resolution , data mining , geography , remote sensing , programming language , linguistics , philosophy
We propose an experimental design for the comparison of state-of-the art feature detector-descriptor combination. Our aim is to rank potential detector-descriptor that best performs in our project. We deal with disparate images that represent building evolution of the city of Rheims over the time. We obtained promising results for matching buildings that evolve temporally.
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