3D vision inspection for internal surface based on circle structured light

Zhang, Guangjun; He, Jian; Li, Xiuzhi

doi:10.1016/j.sna.2005.04.012

Cited by 46 publications

(33 citation statements)

References 5 publications

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“…Analysis of these pattern deformations leads to an accurate and robust method for depth estimation. This technique is applied in industrial endoscopes, but was not found applied in clinical endoscopes [25]. Zhang et al do describe the essentials and possibilities of the technology very clearly [25].…”

Section: Lumen Centralizationmentioning

confidence: 99%

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Towards automated visual flexible endoscope navigation

2013

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Section: Lumen Centralizationmentioning

confidence: 99%

“…This technique is applied in industrial endoscopes, but was not found applied in clinical endoscopes [25]. Zhang et al do describe the essentials and possibilities of the technology very clearly [25]. 'Shape from shading' is a last depth estimation technique used in flexible endoscopy [12], [15], [26], [27].…”

Section: Lumen Centralizationmentioning

confidence: 99%

Towards automated visual flexible endoscope navigation

2013

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“…B. H. Zhuang et al [1] introduced the circular optical cutting method (COCI) for non-contact pipe inner wall inspection. G. Zhang et al [2] implemented a 3D vision inspection system based on circular structured light for pipes with diameters of 5-12mm. R. Orghidan et al [3] presented an omnidirectional 3D vision sensor comprising a panoramic laser projector and an omnidirectional camera, together with its mathematic model and experimental accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…The first category features the precise model of the imaging system, while every parameter within the model has special physical mean, such as focal length, principal point and 3D position of the camera. The target of calibration is to fix these parameters accurately [2,5,6]. The second category ignores the concrete imaging procedure, but resorts certain mathematic models instead, such as neural network and polynomial.…”

Section: Introductionmentioning

confidence: 99%

In-pipe profile detection using circular structured light and its calibration technique

Feng

Xiao

et al. 2008

2008 International Conference on Information and Automation

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A vision sensor utilizing circular structured light is proposed to deal with the in-pipe profile detection. Circular structured light is firstly thrown by the ring laser projector and then reflected by a cone-shaped mirror to intersect with the inner surface of the pipe. The intersection is taken as the representative of the contour of the section by the charge coupled device (CCD) camera and gets processed by a subsequent algorithm to extract relevant information. The imaging principle is analysed to relate the pixel value to the real dimension, and lead to the promotion of an effective and feasible calibration method which adopts a series of pipes with known diameters as calibration objects. This method figures out the mathematic relation between the pixel value and real dimension by interpolation instead of modelling the imaging system directly. With the calibrated system, pipes with known diameters are employed in the experiment. The feasibility and accuracy have been improved compared with the existing techniques.978-1-4244-2184-8/08/$25.00

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“…They are very common when highly detailed models are required and are already used in industry (e.g. [33,34]), for documentation of buildings and landscapes (e.g. [35,36]) or for the recording of objects in archaeology and cultural heritage (e.g.…”

Section: Methods For 3d Reconstructionmentioning

confidence: 99%

3D Object Reconstruction from Uncalibrated Images Using an Off-the-Shelf Camera

Azevedo

Tavares²,

Vaz³

Advances in Computational Vision and Medical Image Processing

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Three-dimensional (3D) objects reconstruction using just bidimensional (2D) images has been a major research topic in Computer Vision. However, it is still a hard problem to address, when automation, speed and precision are required and/or the objects have complex shapes or image properties. In this paper, we compare two Active Computer Vision methods frequently used for the 3D reconstruction of objects from image sequences, acquired with a single off-the-shelf CCD camera: Structure From Motion (SFM) and Generalized Voxel Coloring (GVC). SFM recovers the 3D shape of an object based on the relative motion involved, while VC is a volumetric method that uses photo-consistency measures to build the required 3D model. Both methods considered do not impose any kind of restrictions on the relative motion involved.

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3D vision inspection for internal surface based on circle structured light

Cited by 46 publications

References 5 publications

Towards automated visual flexible endoscope navigation

Towards automated visual flexible endoscope navigation

In-pipe profile detection using circular structured light and its calibration technique

3D Object Reconstruction from Uncalibrated Images Using an Off-the-Shelf Camera

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