TY  - CONF
AU  - Aleksandr Setkov
AU  - Fabio Martinez Carillo
AU  - Michele Gouiffes
AU  - Christian Jacquemin
AU  - Maria Vanrell
AU  - Ramon Baldrich
A2  - ISVC
PY  - 2015//
TI  - DAcImPro: A Novel Database of Acquired Image Projections and Its Application to Object Recognition
T2  - LNCS
BT  - Advances in Visual Computing. Proceedings of 11th International Symposium, ISVC 2015 Part II
SP  - 463
EP  - 473
VL  - 9475
PB  - Springer International Publishing
KW  - Projector-camera systems
KW  - Feature descriptors
KW  - Object recognition
N2  - Projector-camera systems are designed to improve the projection quality by comparing original images with their captured projections, which is usually complicated due to high photometric and geometric variations. Many research works address this problem using their own test data which makes it extremely difficult to compare different proposals. This paper has two main contributions. Firstly, we introduce a new database of acquired image projections (DAcImPro) that, covering photometric and geometric conditions and providing data for ground-truth computation, can serve to evaluate different algorithms in projector-camera systems. Secondly, a new object recognition scenario from acquired projections is presented, which could be of a great interest in such domains, as home video projections and public presentations. We show that the task is more challenging than the classical recognition problem and thus requires additional pre-processing, such as color compensation or projection area selection.
SN  - 0302-9743
SN  - 978-3-319-27862-9
UR  - http://dx.doi.org/10.1007/978-3-319-27863-6_43
N1  - CIC
ID  - Aleksandr Setkov2015
ER  -