Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition Using Bézier Curves

Autor:	Andreas Geiger, Julian Kurz, Martin Roser
Rok vydání:	2011
Předmět:	Physics::Fluid Dynamics Surface (mathematics) Physics Monocular Orders of magnitude (time) Geometrical optics Inclination angle Bézier curve Geometry Representation (mathematics) Probabilistic framework
Zdroj:	Computer Vision – ACCV 2010 Workshops ISBN: 9783642228186 ACCV Workshops (2)
DOI:	10.1007/978-3-642-22819-3_24
Popis:	In this paper, we propose a novel raindrop shape model for the detection of view-disturbing, adherent raindrops on inclined surfaces. Whereas state-of-the-art techniques do not consider inclined surfaces because they assume the droplets as sphere sections with equal contact angles, our model incorporates cubic Bezier curves that provide a low dimensional and physically interpretable representation of a raindrop surface. The parameters are empirically deduced from numerous observations of different raindrop sizes and surface inclination angles. It can be easily integrated into a probabilistic framework for raindrop recognition, using geometrical optics to simulate the visual raindrop appearance. In comparison to a sphere section model, the proposed model yields an improved droplet surface accuracy up to three orders of magnitude.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1cf709d858ae5d46aedf0b680a3a01de https://doi.org/10.1007/978-3-642-22819-3_24 Zobrazit plný text záznamu