Integrating Virtual Objects into Real Images for Augmented Reality Chu-Song Cher Yi-Ping Hung Shen-Wen Shih Chen-Chiung Hsieh Chen-Yuan Tang


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    • Abstract:  A systematic approach for integrating virtual objects into real images is developed in this paper. We propose the P3P-IC. 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.

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