Structured Light Encoding Stripe Edge Detection Based on Grey Curve Intersecting Point

Haibin, 吴海滨 Wu; Xiao-yang, 于晓洋 Yu; Congrong, 关丛荣 Guan

doi:10.3788/aos20082806.1085

Cited by 8 publications

(3 citation statements)

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“…In order to prove the effect of normalization method [10] , we choose several porcelains with different typical surface morphologies to conduct the experiments. One of those is showed in Figure 4.…”

Section: Resultsmentioning

confidence: 99%

Porcelain three-dimensional shape reconstruction and its color reconstruction

Yang

et al. 2013

Eighth International Symposium on Precision Engineering Measurement and Instrumentation

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In this paper, structured light three-dimensional measurement technology was used to reconstruct the porcelain shape, and further more the porcelain color was reconstructed. So the accurate reconstruction of the shape and color of porcelain was realized. Our shape measurement installation drawing is given. Because the porcelain surface is color complex and highly reflective, the binary Gray code encoding is used to reduce the influence of the porcelain surface. The color camera was employed to obtain the color of the porcelain surface. Then, the comprehensive reconstruction of the shape and color was realized in Java3D runtime environment. In the reconstruction process, the space point by point coloration method is proposed and achieved. Our coloration method ensures the pixel corresponding accuracy in both of shape and color aspects.The porcelain surface shape and color reconstruction experimental results completed by proposed method and our installation, show that: the depth range is 860 ∼ 980mm, the relative error of the shape measurement is less than 0.1%, the reconstructed color of the porcelain surface is real, refined and subtle, and has the same visual effect as the measured surface.

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Section: Resultsmentioning

confidence: 99%

Porcelain three-dimensional shape reconstruction and its color reconstruction

Yang

et al. 2013

Eighth International Symposium on Precision Engineering Measurement and Instrumentation

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“…But in the binary edge image, the points are isolated with each other, and need to find continuous edge points by edge tracking process. Edge tracking [15] is the foundation work for image segmentation, target recognition and other operations. To meet the needs of subsequent operations, we adopt corresponding tracking algorithm to improve the processing efficiency.…”

Section: Our Algorithmmentioning

confidence: 99%

Multiple Circles Detection in Complex Scenes

Chu¹,

Wang²,

Sun³

et al. 2016

IJMUE

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“…The projection range of these two code pattern is exactly the same, and the minimum code width of gray code is equal with trapezoidal phase shift cycle, moreover, their edges are aligned with each other. After obtained 8 code patterns, 5 cycle patterns were firstly decoded and converted to decimal code k(u, v) [6,7], and then 3 trapezoidal phase shift patterns were decoded to obtain cycle phase φ (u, v) from equation (4) and (5). Cycle phase φ (u, v) is the periodic function, so the phase Ψ (u, v) of the whole measurement space can be obtained through expanding φ (u, v) based on formula (6).…”

Section: The Principal Of Combined Temporal Encodingmentioning

confidence: 99%

3D measurement method based on combined temporal encoding structured light

Yang

et al. 2013

SPIE Proceedings

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Three-dimensional (3D) vision measurement technology based on encoding structured light plays an important role and has become the main development trend in the field of 3D non-contact measurement. However, how to synthetically improve measurement speed, accuracy and sampling density is still a difficult problem. Thus in the present work, a novel 3D measurement method based on temporal encoding structured light by combining trapezoidal phase-shifting pattern and cyclic code pattern is proposed. Due to trapezoidal phase-shifting has the advantages of high sampling density and high-speed, the proposed method can maintain these advantages by using cyclic code to expand the range of trapezoidal phase-shifting. In addition, the correction scheme is designed to solve the problem of cycle dislocation. Finally, simulation experimental platform is built with 3ds max and MATLAB. Experimental analyses and results show that, the maximal error is less than 3 mm in the range from 400 mm to 1100 mm, cycle dislocation correction has a good effect.

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Structured Light Encoding Stripe Edge Detection Based on Grey Curve Intersecting Point

Cited by 8 publications

References 0 publications

Porcelain three-dimensional shape reconstruction and its color reconstruction

Porcelain three-dimensional shape reconstruction and its color reconstruction

Multiple Circles Detection in Complex Scenes

3D measurement method based on combined temporal encoding structured light

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