[1]ZHANG Yuan-yuan,WU Xiao-juan,LI Xiu-yuan,et al.Extraction of 3D coordinates using parallel lines in monocular images[J].CAAI Transactions on Intelligent Systems,2010,5(1):24-29.
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
5
Number of periods:
2010 1
Page number:
24-29
Column:
学术论文—人工智能基础
Public date:
2010-02-25
- Title:
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Extraction of 3D coordinates using parallel lines in monocular images
- Author(s):
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ZHANG Yuan-yuan1; WU Xiao-juan1; LI Xiu-yuan1; RUAN Qiu-qi2
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1.School of Information Science and Technology, Shandong University, Ji’nan 250100, China;
2. Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China
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- Keywords:
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3D reconstruction; monocular camera; parallel lines constraint; coordinate conversion factor; coordinates recovery
- CLC:
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TP391
- DOI:
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- Abstract:
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A method was proposed to simplify the extraction of 3D coordinates from spatial points in 2D images captured by a monocular camera. Assume that two parallel lines could be known in the image, and also that their relative positions with respect to the video camera were known. In the camera coordinate system, the projection of any spatial point in the plane determined by parallel lines to the image plane of the camera could be measured. By applying the knowledge of projection geometry, a coordinate conversion factor (CCF) for the given point was then calculated; these were used to estimate 3D spatial coordinates. Estimations of the paths of people walking were then done to analyze the effectiveness of this method. Results showed that the proposed algorithm is simple and effective, and has low computational costs.