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Author | Miguel Oliveira; Angel Sappa; V. Santos | ||||
Title | Color Correction for Onboard Multi-camera Systems using 3D Gaussian Mixture Models | Type | Conference Article | ||
Year | 2012 | Publication | IEEE Intelligent Vehicles Symposium | Abbreviated Journal | |
Volume | Issue | Pages | 299-303 | ||
Keywords | |||||
Abstract | The current paper proposes a novel color correction approach for onboard multi-camera systems. It works by segmenting the given images into several regions. A probabilistic segmentation framework, using 3D Gaussian Mixture Models, is proposed. Regions are used to compute local color correction functions, which are then combined to obtain the final corrected image. An image data set of road scenarios is used to establish a performance comparison of the proposed method with other seven well known color correction algorithms. Results show that the proposed approach is the highest scoring color correction method. Also, the proposed single step 3D color space probabilistic segmentation reduces processing time over similar approaches. | ||||
Address | Alcalá de Henares | ||||
Corporate Author | Thesis | ||||
Publisher | IEEE Xplore | Place of Publication ![]() |
Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | 1931-0587 | ISBN | 978-1-4673-2119-8 | Medium | |
Area | Expedition | Conference | IV | ||
Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ OSS2012b | Serial | 2021 | ||
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