Abstract
In augmented reality (AR) applications, accurately registering a virtual object with its real counterpart is a challenging problem. The size, depth, and geometry, as well as the physical attributes of the virtual object, have to be rendered precisely relative to a physical reference. This paper presents a systematic calibration process to address the registration challenge in a custom-designed AR system, which is based upon recent head-mounted projective display (HMPD) technology. Following a concise review of the HMPD concept and our system configuration, we first present a computational model of the HMPD viewing system and requirements for the system calibration. Then, we describe, in detail, the calibration procedures to obtain estimates of unknown transformations, summarize the application of the estimates in a customized graphics rendering toolkit, and discuss the evaluation experiments and observations. Finally, the implementation of a testbed to demonstrate a successful registration is briefly described, and experimental results are presented
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