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Sensors 2017, 17(1), 1; doi:10.3390/s17010001

A Unified Framework for Street-View Panorama Stitching

1
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2
School of Control Science and Engineering, Shandong University, Jinan 250061, China
*
Author to whom correspondence should be addressed.
Academic Editor: Felipe Gonzalez Toro
Received: 8 September 2016 / Revised: 30 November 2016 / Accepted: 15 December 2016 / Published: 22 December 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [33857 KB, uploaded 22 December 2016]   |  

Abstract

In this paper, we propose a unified framework to generate a pleasant and high-quality street-view panorama by stitching multiple panoramic images captured from the cameras mounted on the mobile platform. Our proposed framework is comprised of four major steps: image warping, color correction, optimal seam line detection and image blending. Since the input images are captured without a precisely common projection center from the scenes with the depth differences with respect to the cameras to different extents, such images cannot be precisely aligned in geometry. Therefore, an efficient image warping method based on the dense optical flow field is proposed to greatly suppress the influence of large geometric misalignment at first. Then, to lessen the influence of photometric inconsistencies caused by the illumination variations and different exposure settings, we propose an efficient color correction algorithm via matching extreme points of histograms to greatly decrease color differences between warped images. After that, the optimal seam lines between adjacent input images are detected via the graph cut energy minimization framework. At last, the Laplacian pyramid blending algorithm is applied to further eliminate the stitching artifacts along the optimal seam lines. Experimental results on a large set of challenging street-view panoramic images captured form the real world illustrate that the proposed system is capable of creating high-quality panoramas. View Full-Text
Keywords: panorama stitching; seam line detection; image warping; graph cuts; image parallax; image blending; color correction panorama stitching; seam line detection; image warping; graph cuts; image parallax; image blending; color correction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, L.; Yao, J.; Xie, R.; Xia, M.; Zhang, W. A Unified Framework for Street-View Panorama Stitching. Sensors 2017, 17, 1.

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