A Self-Calibration Technique Based on the Geometry Property of the Vanish Point

Ju, 霍炬 Huo; Wei, 杨 卫 Yang; Ming, 杨明 Yang

doi:10.3788/aos20103002.0465

Cited by 11 publications

(1 citation statement)

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“…Two parallel lines in the world coordinate system through the perspective projection transformation, the image is often not parallel, and intersect a image point with the limited space, the intersection is called the finit vanishing point, if the world line parallel to the image plane, then it's called infinit vanishing point. The vanishing point applies a wide range, such as photogrammetry [1] , self-calibration [2] , and machine navigation [3] and so on; it is an important research topic in computer vision.…”

Section: Introductionsmentioning

confidence: 99%

A New Vanishing Point Detection Algorithm for Orthogonal Directions

Fu¹,

Zhao²,

Cheng³

2012

AMR

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This paper presents the orthogonal direction vanishing points detection algorithm for scene image. It use the Hough transform to detect straight lines in the image, then it based on RANSAC robust framework to calculate the initial value, the end use of Levenberg-Marquardt algorithm for nonlinear optimization iteration to strike the final vanishing point. The experiments result shows that the algorithm can not only quickly detect scene orthogonal direction vanishing points, but also high-precision and that respected this method suitable for use in a scene with large buildings or hyperopia scene.

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Section: Introductionsmentioning

confidence: 99%

A New Vanishing Point Detection Algorithm for Orthogonal Directions

Fu¹,

Zhao²,

Cheng³

2012

AMR

View full text Add to dashboard Cite

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Near-Infrared Camera Calibration for Optical Surgical Navigation

et al. 2016

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Near-infrared optical tracking devices, which are important components of surgical navigation systems, need to be calibrated for effective tracking. The calibration results has a direct influence on the tracking accuracy of an entire system. Therefore, the study of calibration techniques is of theoretical significance and practical value. In the present work, a systematic calibration method based on movable plates is established, which analyzes existing calibration theories and implements methods using calibration reference objects. First, the distortion model of near-infrared cameras (NICs) is analyzed in the implementation of this method. Second, the calibration images from different positions and orientations are used to establish the required linear equations. The initial values of the NIC parameters are calculated with the direct linear transformation method. Finally, the accurate internal and external parameters of the NICs are obtained by conducting nonlinear optimization. Analysis results show that the relative errors of the left and right NICs in the tracking system are 0.244 and 0.282 % for the focal lengths and 0.735 and 1.111 % for the principal points, respectively. The image residuals of the left and right image sets are both less than 0.01 pixel. The standard error of the calibration result is lower than 1, and the measurement error of the tracking system is less than 0.3 mm. The experimental data show that the proposed method of calibrating NICs is effective and can generate favorable calibration results.

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