Structured-light stereo: Comparative analysis and integration of structured-light and active stereo for measuring dynamic shape

Jang, Wonkwi; Je, Changsoo; Seo, Yongduek; Lee, Sang Wook

doi:10.1016/j.optlaseng.2013.05.001

Cited by 68 publications

(23 citation statements)

References 24 publications

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“…(1), to our best knowledge, the proposed pattern modeling method is the only method so far that could remove the noise completely while the state of art computer vision systems [14][15][16][17][18][19] are trying to reduce the noise through filtering and average of multiple patterns.…”

Section: Resultsmentioning

confidence: 99%

“…In most cases [11][12][13][14][15][16][17][18][19][20], the designed patterns keep the distances between adjacent markers the same for convenience. In this section, we propose a 3D pattern modeling method to eliminate the noise based on the distances between the center marker and the other markers.…”

Section: The Proposed Methodsmentioning

confidence: 99%

“…This paper mainly deals with the noise of projector calibration and camera calibration in the structured light scanning system [11][12][13][14][15][16][17][18][19]. The structured light scanning methods [11][12][13][14][15][16][17][18][19] project some designed patterns onto the surface of the object to be measured. From the distorted pattern, the surface's profile could be calculated based on the system parameters calculated from a set of calibrated markers.…”

Section: Introductionmentioning

confidence: 99%

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Removal of noise and radial lens distortion during calibration of computer vision systems

Wang

2015

Opt. Express

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Abstract:The calibration of computer vision systems that contain the camera and the projector usually utilizes markers of the well-designed patterns to calculate the system parameters. Undesirably, the noise and radial distortion exist universally, which decreases the calibration accuracy and consequently decreases the measurement accuracy of the related technology. In this paper, a method is proposed to remove the noise and radial distortion by registering the captured pattern with an ideal pattern. After the optimal modeled pattern is obtained by registration, the degree of freedom of the total calibration markers is reduced to one and both the noise and radial distortion are removed successfully. The accuracy improvement in a structured light scanning system is over 10 24 order of magnitude in the sense of mean square errors. Most importantly, the proposed method can be readily adopted by the computer vision techniques that use projectors or cameras.

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Section: Resultsmentioning

confidence: 99%

Section: The Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Removal of noise and radial lens distortion during calibration of computer vision systems

Wang

2015

Opt. Express

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“…Figure 1 shows an example of such a structured light pattern. At a minimum, one view of the scene is required (Scharstein and Szeliski, 2003), but structured light may also integrated into the stereo camera systems (Jang et al, 2013). A common feature of structured light 3D is that there is some underlying knowledge about the geometry of the pattern(s) and this knowledge is critical for reconstruction.…”

Section: Structured Lightmentioning

confidence: 99%

Enhancement of Stereo Imagery by Artificial Texture Projection Generated Using a Lidar

Veitch-Michaelis

Muller

Walton

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Passive stereo imaging is capable of producing dense 3D data, but image matching algorithms generally perform poorly on images with large regions of homogenous texture due to ambiguous match costs. Stereo systems can be augmented with an additional light source that can project some form of unique texture onto surfaces in the scene. Methods include structured light, laser projection through diffractive optical elements, data projectors and laser speckle. Pattern projection using lasers has the advantage of producing images with a high signal to noise ratio. We have investigated the use of a scanning visible-beam LIDAR to simultaneously provide enhanced texture within the scene and to provide additional opportunities for data fusion in unmatched regions. The use of a LIDAR rather than a laser alone allows us to generate highly accurate ground truth data sets by scanning the scene at high resolution. This is necessary for evaluating different pattern projection schemes. Results from LIDAR generated random dots are presented and compared to other texture projection techniques. Finally, we investigate the use of image texture analysis to intelligently project texture where it is required while exploiting the texture available in the ambient light image.

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“…Over the years, different methods have been developed. In general, they use random dots [11,47], bandlimited random patterns [49], binary-coded patterns [48,50], color structured patterns [51,52], or phase-shifted sinusoidal fringe patterns [53][54][55]. The overviews can be found in the literature [56][57][58].…”

Section: Introductionmentioning

confidence: 99%

Absolute three-dimensional shape measurement using coded fringe patterns without phase unwrapping or projector calibration

2014

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This paper presents a novel stereo-phase-based absolute three-dimensional (3D) shape measurement that requires neither phase unwrapping nor projector calibration. This proposed method can be divided into two steps: (1) obtain a coarse disparity map from the quality map; and (2) refine the disparity map using wrapped phase. Fringe patterns are modified to encode the quality map for efficient and accurate stereo matching. Experiments demonstrated that the proposed method could achieve high-quality 3D measurement even with extremely low-quality fringe patterns. Disciplines Computer-Aided Engineering and Design | Mechanical Engineering CommentsThis paper was published in Optics Express and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://dx.doi.org/10.1364/ OE.22.001287. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law. Abstract:This paper presents a novel stereo-phase-based absolute three-dimensional (3D) shape measurement that requires neither phase unwrapping nor projector calibration. This proposed method can be divided into two steps: (1) obtain a coarse disparity map from the quality map; and (2) refine the disparity map using wrapped phase. Fringe patterns are modified to encode the quality map for efficient and accurate stereo matching. Experiments demonstrated that the proposed method could achieve high-quality 3D measurement even with extremely low-quality fringe patterns.

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Structured-light stereo: Comparative analysis and integration of structured-light and active stereo for measuring dynamic shape

Cited by 68 publications

References 24 publications

Removal of noise and radial lens distortion during calibration of computer vision systems

Removal of noise and radial lens distortion during calibration of computer vision systems

Enhancement of Stereo Imagery by Artificial Texture Projection Generated Using a Lidar

Absolute three-dimensional shape measurement using coded fringe patterns without phase unwrapping or projector calibration

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