A monocular pose measurement method of a translation-only one-dimensional object without scene information

Shang, Yang; Liu, Jinbo; Xie, Tangtao; Yao, Linshen

doi:10.1016/j.ijleo.2014.01.115

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…When the measurement system comprises two or more cameras, 3D pose parameters can be obtained by intersecting the cameras at three or more feature points on the object. 4 A number of pose estimation methods have been reported. Segal et al 5,6 developed a stereovision-based filtering algorithm for estimating the state between two non-cooperative spacecrafts.…”

Section: Introductionmentioning

confidence: 99%

Parallel vision-based pose estimation for non-cooperative spacecraft

Zhou

Chen³

et al. 2015

Advances in Mechanical Engineering

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This article proposes a relative pose estimation method between non-cooperative spacecrafts based on parallel binocular vision. As the information of non-cooperative spacecraft in space is not accessible, the target is considered to be freely tumbling in space. The line feature of non-cooperative target is used to extract the feature points first; then the stereo matching and three-dimensional restructuring are taken for the feature points; finally, an algorithm based on parallel binocular vision algorithm is used to calculate the relative pose between the target coordinate and the world coordinate. The experimental results show that the proposed method has high-accuracy real-time performance.

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Section: Introductionmentioning

confidence: 99%

Parallel vision-based pose estimation for non-cooperative spacecraft

Zhou

Chen³

et al. 2015

Advances in Mechanical Engineering

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“…In recent years, the measurement based on monocular vision has been reported more and more in many engineering fields. [24][25][26][27] The measurement of rotation angles, based on monocular vision method, is the main task in this paper. In order to verify the theoretical analysis, some experiments will be designed to measure the rotation angles of a circular feature during the rotational motion.…”

Section: Introductionmentioning

confidence: 99%

A novel image analysis method for rotational motion of circular feature based on perspective projection

Liu

Zhao

2015

The Imaging Science Journal

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Circular feature has been widely applied in recognising moving object and estimating its position and orientation. Based on the principle of perspective projection, the rotational motion of circular feature was analysed. According to whether the rotational motion occurred in the plane of circular feature, the rotational motion could be classified into two types: in-plane rotation and non-in-plane rotation. For the convenience of computation, we set the camera's initial position and orientation. The optical axis of camera was set perpendicular to the plane of circular feature. We analysed the perspective distortion of the circular feature. Additionally, based on the geometrical reasoning, we also proposed the method of computing the rotation angles. Finally, some experiments were carried to verify correctness and feasibility of the computing method. The results showed that the measurement of rotation angle could achieve better performance though the error existed. The maximum value of errors was only 0?4u. The average errors and the standard deviations of errors were also small.

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Measurement of a Walker’s Movement Parameters by a Monocular Camera

Shang

2017

Lecture Notes in Electrical Engineering

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A monocular pose measurement method of a translation-only one-dimensional object without scene information

Cited by 3 publications

References 18 publications

Parallel vision-based pose estimation for non-cooperative spacecraft

Parallel vision-based pose estimation for non-cooperative spacecraft

A novel image analysis method for rotational motion of circular feature based on perspective projection

Measurement of a Walker’s Movement Parameters by a Monocular Camera

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