@inproceedings{7748f1ed28744094b7c745034a6398a8,
title = "Integrating virtual objects into real images for augmented reality",
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.",
keywords = "Augmented reality, Computer graphics, Computer vision",
author = "Chen, {Chu Song} and Hung, {Yi Ping} and Shih, {Shen Wen} and Hsieh, {Chen Chiung} and Tang, {Chen Yuan} and Yu, {Chih Guo} and Cheng, {You Chung}",
year = "1998",
doi = "10.1145/293701.293702",
language = "English",
isbn = "1581130198",
series = "Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST",
publisher = "Association for Computing Machinery (ACM)",
pages = "1--8",
booktitle = "Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST 1998",
address = "United States",
note = "ACM Symposium on Virtual Reality Software and Technology, VRST 1998 ; Conference date: 02-11-1998 Through 05-11-1998",
}