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ISPRS Int. J. Geo-Inf. 2016, 5(12), 244; doi:10.3390/ijgi5120244

Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model

1
School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China
2
College of Electrical and Information Engineering, Hunan University, Changsha 410205, China
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 20 September 2016 / Revised: 1 December 2016 / Accepted: 9 December 2016 / Published: 16 December 2016
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Abstract

We have presented a framework to obtain camera pose (i.e., position and orientation in the 3D space) with real scale information of the uncalibrated multi-view images and the intrinsic camera parameters automatically. Our framework consists of two key steps. First, the initial value of the intrinsic camera and the pose parameters were extracted from homography estimation based on the contour model of some planar objects. Second, a refinement of the intrinsic camera and pose parameters was operated by the bundle adjustment procedure. Our framework can provide a complete flow of pose estimation of disorderly or orderly uncalibrated multi-view images, which can be used in vision tasks requiring scale information. Real multi-view images were utilized to demonstrate the robustness, flexibility and accuracy of the proposed framework. The proposed framework was also applied in 3D reconstruction. View Full-Text
Keywords: contour model; homography; pose estimation; bundle adjustment; machine vision; multi-view contour model; homography; pose estimation; bundle adjustment; machine vision; multi-view
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Li, C.; Zhou, L.; Chen, W. Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model. ISPRS Int. J. Geo-Inf. 2016, 5, 244.

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