Automatic tie-point matching using SURF-based image matching scheme

Jyun Ping Jhan, Jiann-Yeou Rau, Chien Chuan Lin, Yi Chen Shao

研究成果: Conference contribution

摘要

In digital photogrammetry, automatic tie-point matching is necessary for photo triangulation, integrated sensor orientation, epipolar image generation, image registration, image transformation, image stitching, surface modeling, etc. The objective for this research is to find out a cost-effective way to perform automatic tie-point matching in photo triangulation. SURF (Speed-Up Robust Features) is a scale and rotation invariant feature extraction operator that is suitable for feature point matching even a certain degree of geometrical distortion exists. In this paper, based on the SURF image matching scheme, we develop three tie-point matching strategies and a robust estimation filter to remove blunder error. In the meantime, multiple images measurement is considered to increase the redundancy and internal reliability during least-squares bundle adjustment. In the experiment, the performance of the developed tie-point matching scheme is evaluated by the posterior standard error (sigma0) of image coordinate measurement after free network bundle adjustment. Images acquired from different platforms and purposes are test, such as vertical aerial DSLR images in urban area, oblique aerial DSLR images, unmanned aerial vehicle images taken in mountainous area, close-range object images. Experimental results show that the proposed scheme can match abundant of tie points and the sigma0 is less than 1/3 pixels. It demonstrates that the feasibility of the developed algorithm is high and is suitable for most of the photogrammetric applications.

原文English
主出版物標題32nd Asian Conference on Remote Sensing 2011, ACRS 2011
頁面2336-2341
頁數6
出版狀態Published - 2011 十二月 1
事件32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
持續時間: 2011 十月 32011 十月 7

出版系列

名字32nd Asian Conference on Remote Sensing 2011, ACRS 2011
4

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
國家Taiwan
城市Tapei
期間11-10-0311-10-07

指紋

Image matching
Triangulation
Antennas
Photogrammetry
Image registration
Unmanned aerial vehicles (UAV)
Redundancy
Feature extraction
Pixels
Sensors
Costs
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

引用此文

Jhan, J. P., Rau, J-Y., Lin, C. C., & Shao, Y. C. (2011). Automatic tie-point matching using SURF-based image matching scheme. 於 32nd Asian Conference on Remote Sensing 2011, ACRS 2011 (頁 2336-2341). (32nd Asian Conference on Remote Sensing 2011, ACRS 2011; 卷 4).
Jhan, Jyun Ping ; Rau, Jiann-Yeou ; Lin, Chien Chuan ; Shao, Yi Chen. / Automatic tie-point matching using SURF-based image matching scheme. 32nd Asian Conference on Remote Sensing 2011, ACRS 2011. 2011. 頁 2336-2341 (32nd Asian Conference on Remote Sensing 2011, ACRS 2011).
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abstract = "In digital photogrammetry, automatic tie-point matching is necessary for photo triangulation, integrated sensor orientation, epipolar image generation, image registration, image transformation, image stitching, surface modeling, etc. The objective for this research is to find out a cost-effective way to perform automatic tie-point matching in photo triangulation. SURF (Speed-Up Robust Features) is a scale and rotation invariant feature extraction operator that is suitable for feature point matching even a certain degree of geometrical distortion exists. In this paper, based on the SURF image matching scheme, we develop three tie-point matching strategies and a robust estimation filter to remove blunder error. In the meantime, multiple images measurement is considered to increase the redundancy and internal reliability during least-squares bundle adjustment. In the experiment, the performance of the developed tie-point matching scheme is evaluated by the posterior standard error (sigma0) of image coordinate measurement after free network bundle adjustment. Images acquired from different platforms and purposes are test, such as vertical aerial DSLR images in urban area, oblique aerial DSLR images, unmanned aerial vehicle images taken in mountainous area, close-range object images. Experimental results show that the proposed scheme can match abundant of tie points and the sigma0 is less than 1/3 pixels. It demonstrates that the feasibility of the developed algorithm is high and is suitable for most of the photogrammetric applications.",
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Jhan, JP, Rau, J-Y, Lin, CC & Shao, YC 2011, Automatic tie-point matching using SURF-based image matching scheme. 於 32nd Asian Conference on Remote Sensing 2011, ACRS 2011. 32nd Asian Conference on Remote Sensing 2011, ACRS 2011, 卷 4, 頁 2336-2341, 32nd Asian Conference on Remote Sensing 2011, ACRS 2011, Tapei, Taiwan, 11-10-03.

Automatic tie-point matching using SURF-based image matching scheme. / Jhan, Jyun Ping; Rau, Jiann-Yeou; Lin, Chien Chuan; Shao, Yi Chen.

32nd Asian Conference on Remote Sensing 2011, ACRS 2011. 2011. p. 2336-2341 (32nd Asian Conference on Remote Sensing 2011, ACRS 2011; 卷 4).

研究成果: Conference contribution

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Jhan JP, Rau J-Y, Lin CC, Shao YC. Automatic tie-point matching using SURF-based image matching scheme. 於 32nd Asian Conference on Remote Sensing 2011, ACRS 2011. 2011. p. 2336-2341. (32nd Asian Conference on Remote Sensing 2011, ACRS 2011).