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

doi:10.1109/OPTIP.2016.7528515

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

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	35-39
Number of pages	5
ISBN (Electronic)	9781509008797
DOIs	https://doi.org/10.1109/OPTIP.2016.7528515
Publication status	Published - 2016 Aug 1
Event	2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016 - Warsaw, Poland Duration: 2016 Jun 10 → 2016 Jun 12

Publication series

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

Other

Other	2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016
Country	Poland
City	Warsaw
Period	2016/06/10 → 2016/06/12

Keywords

camera tracking
match-moving
temporal depth fusion
virtual-real synthesis

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/OPTIP.2016.7528515

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Cite this

Luo, A. C., Chen, S. W., & Tseng, K. L. (2016). A real-time camera match-moving method for virtual-real synthesis image composition using temporal depth fusion. In Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016 (pp. 35-39). [7528515] (Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OPTIP.2016.7528515

A real-time camera match-moving method for virtual-real synthesis image composition using temporal depth fusion. / Luo, An Chun; Chen, Sei Wang; Tseng, Kun Lung.

Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 35-39 7528515 (Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Luo, AC, Chen, SW & Tseng, KL 2016, A real-time camera match-moving method for virtual-real synthesis image composition using temporal depth fusion. in Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016., 7528515, Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016, Institute of Electrical and Electronics Engineers Inc., pp. 35-39, 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016, Warsaw, Poland, 2016/06/10. https://doi.org/10.1109/OPTIP.2016.7528515

Luo AC, Chen SW, Tseng KL. A real-time camera match-moving method for virtual-real synthesis image composition using temporal depth fusion. In Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 35-39. 7528515. (Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016). https://doi.org/10.1109/OPTIP.2016.7528515

Luo, An Chun ; Chen, Sei Wang ; Tseng, Kun Lung. / A real-time camera match-moving method for virtual-real synthesis image composition using temporal depth fusion. Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 35-39 (Proceedings - 2016 International Conference on Optoelectronics and Image Processing, ICOIP 2016).

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abstract = "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.",

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