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Article

Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig

by 1,2,*, 1, 3 and 4
1
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2
Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100001, China
3
Leador Spatial Information Technology Corporation, Wuhan 430000, China
4
Department of Physical Geography, Faculty of Geoscience, Utrecht University, Princetonlaan 8, 3584 CB Utrecht, The Netherlands
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(7), 236; https://doi.org/10.3390/ijgi7070236
Received: 3 May 2018 / Revised: 6 June 2018 / Accepted: 18 June 2018 / Published: 21 June 2018
Automatic detection and locating of objects such as poles, traffic signs, and building corners in street scenes captured from a mobile mapping system has many applications. Template matching is a technique that could automatically recognise the counterparts or correspondents of an object from multi-view images. In this study, we aim at finding correspondents of an object from wide baseline panoramic images with large geometric deformations from sphere projection and significant systematic errors from multi-camera rig geometry. Firstly, we deduce the camera model and epipolar model of a multi-camera rig system. Then, epipolar errors are analysed to determine the search area for pixelwise matching. A low-cost laser scanner is optionally used to constrain the depth of an object. Lastly, several classic feature descriptors are introduced to template matching and evaluated on the multi-view panoramic image dataset. We propose a template matching method combining a fast variation of a scale-invariant feature transform (SIFT) descriptor. Our method experimentally achieved the best performance in terms of accuracy and efficiency comparing to other feature descriptors and the most recent robust template matching methods. View Full-Text
Keywords: template matching; panoramic camera; mobile mapping system; feature descriptors template matching; panoramic camera; mobile mapping system; feature descriptors
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MDPI and ACS Style

Ji, S.; Yu, D.; Hong, Y.; Lu, M. Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig. ISPRS Int. J. Geo-Inf. 2018, 7, 236. https://doi.org/10.3390/ijgi7070236

AMA Style

Ji S, Yu D, Hong Y, Lu M. Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig. ISPRS International Journal of Geo-Information. 2018; 7(7):236. https://doi.org/10.3390/ijgi7070236

Chicago/Turabian Style

Ji, Shunping, Dawen Yu, Yong Hong, and Meng Lu. 2018. "Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig" ISPRS International Journal of Geo-Information 7, no. 7: 236. https://doi.org/10.3390/ijgi7070236

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