Abstract
Spatial Augmented Reality applications generally use projector-camera systems to control the visual projection appearance by comparing the initial projected and the acquired images. To obtain an accurate geometric compensation, a non-intrusive feature-point matching approach can be exploited which must handle complex photometric distortions due to the spectral devices responses, complex illumination and the mixing of the projected image with the projection surface.This paper first discusses the invariance properties of existing color descriptors in that application for non-intrusive geometric compensation. Their performance is evaluated using the framework of Setkov et al. (2013) extended by adding the several new test cases: modeled synthetic projections, real-world projections under various illuminants on one and two planar surfaces. Our experimental results show two main conclusions: (1) classical color vision models are hardly suitable to model the distortions in a projector-camera system, and (2) the LHE-based descriptor (Local Histogram Equalization) is the most reliable to compensate real-projections.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Visual Communication and Image Representation
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
