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Real-time video fusion based on multistage hashing and hybrid transformation with depth adjustment

[+] Author Affiliations
Hongjian Zhao

China University of Mining and Technology, School of Computer Science and Technology, South Lake Campus, No. 1 Daxue Road, Xuzhou, Jiangsu 221116, China

Zhengzhou Coal Industry (Group) Company, Limited, No. 188 Zhong Yuan West Road, Zhongyuan District, Zhengzhou, Henan 450042, China

Shixiong Xia, Rui Yao, Qiang Niu, Yong Zhou

China University of Mining and Technology, School of Computer Science and Technology, South Lake Campus, No. 1 Daxue Road, Xuzhou, Jiangsu 221116, China

J. Electron. Imaging. 24(6), 063023 (Dec 30, 2015). doi:10.1117/1.JEI.24.6.063023
History: Received July 2, 2015; Accepted November 3, 2015
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Abstract.  Concatenating multicamera videos with differing centers of projection into a single panoramic video is a critical technology of many important applications. We propose a real-time video fusion approach to create wide field-of-view video. To provide a fast and accurate video registration method, we propose multistage hashing to find matched feature-point pairs from coarse to fine. In the first stage of multistage hashing, a short compact binary code is learned from all feature points, and then we calculate the Hamming distance between each two points to find the candidate-matched points. In the second stage, a long binary code is obtained by remapping the candidate points for fine matching. To tackle the distortion and scene depth variation of multiview frames in videos, we build hybrid transformation with depth adjustment. The depth compensation between two adjacent frames extends into multiple frames in an iterative model for successive video frames. We conduct several experiments with different dynamic scenes and camera numbers to verify the performance of the proposed real-time video fusion approach.

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Topics

Cameras ; Video

Citation

Hongjian Zhao ; Shixiong Xia ; Rui Yao ; Qiang Niu and Yong Zhou
"Real-time video fusion based on multistage hashing and hybrid transformation with depth adjustment", J. Electron. Imaging. 24(6), 063023 (Dec 30, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.6.063023


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