Method to generate disaster-damage map using 3D photometry and crowd sourcing

Koyo Kobayashi, Hidehiko Shishido, Yoshinari Kameda, Itaru Kitahara
2017 2017 IEEE International Conference on Big Data (Big Data)  
With to the spread of the Internet and mobile devices, information related to disaster areas is being collected through the Internet. To grasp the degree of damage in a disaster situation, the use of crowdsourcing for collecting the trivial efforts (micro tasks) of an enormous number of users (workers) on the Internet has been drawing attention as a mean of quickly solving problems. However, the information gathered from the Internet is huge and diverse, so it is difficult to formulate it as a
more » ... rowdsourcing task. In this paper, we propose a conversion platform for the images of the site photographed by various users as information of the disaster site, integrating them into a single map using 3D image processing, and providing it to crowdsourcing as a micro task.
doi:10.1109/bigdata.2017.8258473 dblp:conf/bigdataconf/KobayashiSKK17 fatcat:w2zioiqtireixkg22ltarhzsxm