Abstract
This paper presents a novel approach to reconstruct illumination environment by omnidirectional camera calibration. The camera positions are estimated by our method considering the inlier distribution. The light positions are computed with the intersection points of the rays starting from the camera positions toward the corresponding points between two images. In addition, our method can integrate various synthetic objects in the real photographs by using the distributed ray tracing and HDR (High Dynamic Range) radiance map. Simulation results showed that we can generate photo-realistic image synthesis in the reconstructed illumination environment.
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Hwang, YH., Hong, HK. (2006). Reconstructing Illumination Environment by Omnidirectional Camera Calibration. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_57
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DOI: https://doi.org/10.1007/11941439_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49787-5
Online ISBN: 978-3-540-49788-2
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