Indirect augmented reality considering real-world illumination change

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Indirect augmented reality (IAR) utilizes pre-captured omnidirectional images and offline superimposition of virtual objects for achieving high-quality geometric and photometric registration. Meanwhile, IAR causes inconsistency between the real world and the pre-captured image. This paper describes the first-ever study focusing on the temporal inconsistency issue in IAR. We propose a novel IAR system which reflects real-world illumination change by selecting an appropriate image from a set of images pre-captured under various illumination. Results of a public experiment show that the proposed system can improve the realism in IAR.