TY - JOUR
T1 - Rendering ground truth data sets to detect shadows cast by static objects in outdoors
AU - Isaza, Cesar
AU - Salas, Joaquin
AU - Raducanu, Bogdan
N1 - Funding Information:
This research was partially supported by IPN-SIP under grant contract 20121642.
PY - 2014/5
Y1 - 2014/5
N2 - In our work, we are particularly interested in studying the shadows cast by static objects in outdoor environments, during daytime. To assess the accuracy of a shadow detection algorithm, we need ground truth information. The collection of such information is a very tedious task because it is a process that requires manual annotation. To overcome this severe limitation, we propose in this paper a methodology to automatically render ground truth using a virtual environment. To increase the degree of realism and usefulness of the simulated environment, we incorporate in the scenario the precise longitude, latitude and elevation of the actual location of the object, as well as the sun's position for a given time and day. To evaluate our method, we consider a qualitative and a quantitative comparison. In the quantitative one, we analyze the shadow cast by a real object in a particular geographical location and its corresponding rendered model. To evaluate qualitatively the methodology, we use some ground truth images obtained both manually and automatically.
AB - In our work, we are particularly interested in studying the shadows cast by static objects in outdoor environments, during daytime. To assess the accuracy of a shadow detection algorithm, we need ground truth information. The collection of such information is a very tedious task because it is a process that requires manual annotation. To overcome this severe limitation, we propose in this paper a methodology to automatically render ground truth using a virtual environment. To increase the degree of realism and usefulness of the simulated environment, we incorporate in the scenario the precise longitude, latitude and elevation of the actual location of the object, as well as the sun's position for a given time and day. To evaluate our method, we consider a qualitative and a quantitative comparison. In the quantitative one, we analyze the shadow cast by a real object in a particular geographical location and its corresponding rendered model. To evaluate qualitatively the methodology, we use some ground truth images obtained both manually and automatically.
KW - Shadow detection
KW - Static objects shadow detection
KW - Sun position
KW - Synthetic ground truth data set
UR - http://www.scopus.com/inward/record.url?scp=84901915457&partnerID=8YFLogxK
U2 - 10.1007/s11042-013-1409-9
DO - 10.1007/s11042-013-1409-9
M3 - Artículo
SN - 1380-7501
VL - 70
SP - 557
EP - 571
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
IS - 1
ER -