Abstract
A systematic approach for integrating virtual objects into real images is developed in this paper. We propose the P3P-ICP method to solve the camera pose estimation problem. A robust tracking method is developed via the combination of the LMedS technique and the P3P-ICP method. With the 3D models and the robust tracking methods, we can determine the camera poses associated with each frame in the image sequence. Knowing the camera poses for each image frame, we can then integrate virtual objects into a video segment. © 1998 ACM.
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CITATION STYLE
Chen, C. S., Hung, Y. P., Shih, S. W., Hsieh, C. C., Tang, C. Y., Yu, C. G., & Cheng, Y. C. (1998). Integrating virtual objects into real images for augmented reality. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST (pp. 1–8). Association for Computing Machinery. https://doi.org/10.1145/293701.293702
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