@inproceedings{1f68e6a3fe1d4b67a0b97b1736dcd0f1,
title = "Long scene panorama generation for indoor environment",
abstract = "Long scene panorama (LSP) can provide the immersive experience for an extended view in one single photograph. The state-of-the-art image mosaicing based LSP techniques are significantly constrained by their high computational complexity, limiting their applications to platforms with rich computing resource. Slit-scanning based schemes, although implementation friendly, heavily rely on the consistency of the camera's speed and suffer from pushbroom distortion. In this paper, we propose a novel scheme which can generate the LSP for the indoor environment via consumer-grade cameras. A novel adaptive resampling scheme is introduced to generate more natural looking panoramas from videos captured by cameras with non-constant moving speed. A multiple slits replacement scheme is also developed to reduce the zigzag distortion and to handle the depth change. Experimental results show that the proposed scheme can achieve satisfactory performance with handheld cameras.",
keywords = "Adaptive resampling, Indoor environment, Long scene panorama, Multiple slits replacement",
author = "Jie Hu and Zhang, \{Dong Qing\} and Heather Yu and Chen, \{Chang Wen\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",
year = "2014",
month = jan,
day = "28",
doi = "10.1109/ICIP.2014.7025939",
language = "English",
series = "2014 IEEE International Conference on Image Processing, ICIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4632--4636",
booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",
address = "United States",
}