A real-time camera match-moving method for virtual-real synthesis image composition using temporal depth fusion

An Chun Luo, Sei Wang Chen, Kun Lung Tseng

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

This paper presented a virtual-real synthesis image composition method, called match-moving, which is suitable for the graphic image composition or the stereoscopic image composition. The proposed method consists of two subsystems for camera tracking and virtue-real preview, respectively. The camera tracking subsystem based on the temporal depth fusion is used to acquire the camera pose and trajectory. In order to compensate the existing noises in dynamic scenes, a priori model is employed while developing a human skeleton detection method and a spatial temporal attention analysis method. The composition of real and virtual objects is performed by a real-time virtual-real synthesis preview system. In exemplary results, the measurement of camera pose has shown that the proposed system was achieved with high accuracy. Our goal is to design an intuitive camera match-moving system to perform a virtual-real synthesis with real-time 3D preview visualization.

原文英語
主出版物標題Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面35-39
頁數5
ISBN(電子)9781509008797
DOIs
出版狀態已發佈 - 2016 八月 1
事件2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016 - Warsaw, 波兰
持續時間: 2016 六月 102016 六月 12

出版系列

名字Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016

其他

其他2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016
國家/地區波兰
城市Warsaw
期間2016/06/102016/06/12

ASJC Scopus subject areas

  • 電腦科學應用
  • 電腦視覺和模式識別
  • 訊號處理

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