Accurate 3D measurement using a structured light system

Coded structured light is considered one of the most reliable techniques for recovering the surface of objects. This technique is based on projecting a light pattern and viewing the illuminated scene from one or more points of view. Since the pattern is coded, correspondences between image points and points of the projected pattern can be easily found. The decoded points can be triangulated and 3D information is obtained. We present an overview of the existing techniques, as well as a new and deÿnitive classiÿcation of patterns for structured light sensors. We have implemented a set of representative techniques in this ÿeld and present some comparative results. The advantages and constraints of the di erent patterns are also discussed.

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“…(9). The row index is indicated with i and varies from 0 to the length of Vhm, while j is the column index varying from 0 to Vvm length.…”

Section: Strategies Based On M-arraysmentioning

confidence: 99%

Pattern codification strategies in structured light systems

Salví

Pagès

Batlle

2004

Pattern Recognition

996

491

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“…6(a), we can select one arbitrary point, R 1 , which is located on the right side fringe pixel, and then can find the line equation of 1 R by using camera equation. Here, 1 R is the length of the line A O R . In general 3D case, to express the line equation is very difficult.…”

Section: The Proposed Sensing Algorithmmentioning

confidence: 99%

“…A variety of machine vision techniques [1][2][3][4] have been conducted for the determination of 3D scene geometric information from 2D images. Although binocular and trinocular vision [13] sensors among them have been widely used as representative ones of passive sensor system, they still suffer from sudden changes of image intensity due to the illumination noise, insufficient feature information on environment composed of plain surfaces and correspondence problem between multiple images.…”

Section: Introductionmentioning

confidence: 99%

A New 3D Sensor System for Mobile Robots Based on Moire and Stereo Vision Technique

Lee¹,

Cho²,

Kim³

2006

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems

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-Intelligent autonomous mobile robots must be able to sense and recognize 3D environment for navigation and task execution, where they live or work. To achieve this, a variety of techniques have been developed for the determination of the 3D scene geometric information such as stereo vision, laser structured light, laser range finder and so on. But these methods have many limitations such as susceptibility to noise, low speed in 3D scene etc. To overcome these limitations we introduce a new sensing algorithm, which is based on the moire technique and stereo vision. To verify the efficiency and accuracy of our algorithm, a series of experimental tests is performed.

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“…The laser projects a line (or cross line) on the scene and the camera captures images containing the projection. For each laser point in each image, the 3D position can be computed if the relative pose between the laser and camera is known [5].…”

Section: Introductionmentioning

confidence: 99%

Golf Green Slope Estimation Using a Cross Laser Structured Light System and an Accelerometer

Pham¹,

Dang²,

Suh³

2016

Journal of Electrical Engineering and Technology

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-In this paper, we propose a method combining an accelerometer with a cross structured light system to estimate the golf green slope. The cross-line laser provides two laser planes whose functions are computed with respect to the camera coordinate frame using a least square optimization. By capturing the projections of the cross-line laser on the golf slope in a static pose using a camera, two 3D curves' functions are approximated as high order polynomials corresponding to the camera coordinate frame. Curves' functions are then expressed in the world coordinate frame utilizing a rotation matrix that is estimated based on the accelerometer's output. The curves provide some important information of the green such as the height and the slope's angle. The curves estimation accuracy is verified via some experiments which use OptiTrack camera system as a ground-truth reference.

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Accurate 3D measurement using a structured light system

Cited by 235 publications

References 4 publications

Pattern codification strategies in structured light systems

Pattern codification strategies in structured light systems

A New 3D Sensor System for Mobile Robots Based on Moire and Stereo Vision Technique

Golf Green Slope Estimation Using a Cross Laser Structured Light System and an Accelerometer

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