Colour-stripe permutation pattern for rapid structured-light range imaging

Je, Changsoo; Lee, Sang Wook; Park, Rae-Hong

doi:10.1016/j.optcom.2012.01.025

Cited by 29 publications

(28 citation statements)

References 13 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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“…Most traditional 3D reconstruction methods fail in these situations because their working principles rely on the facts that the objects in the scene are made of diffusive (Lambertian) surfaces. For structured light methods [1][2][3][4], well-designed patterns are reflected by the specular surfaces onto a diffusive plane or onto the image plane of the camera directly. The distortion of the pattern caused by one specific point is determined by both the height and the surface normal of that point.…”

Section: Introductionmentioning

confidence: 99%

A one-shot-projection method for measurement of specular surfaces

Wang¹

2015

Opt. Express

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Abstract:In this paper, a method is proposed to measure the shapes of specular surfaces with one-shot-projection of structured laser patterns. By intercepting the reflection of the reflected laser pattern twice with two diffusive planes, the closed form solution is achieved for each reflected ray. The points on the specular surface are reconstructed by computing the intersections of the incident rays and the reflected rays. The proposed method can measure both static and dynamic specular shapes due to its oneshot-projection, which is beyond the capability of most of state of art methods that need multiple projections. To our knowledge, the proposed method is the only method so far that could yield the closed form solutions for the dynamic and specular surfaces.

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“…Sato and Inokuchi developed a set of hierarchical black-andwhite stripe patterns to reduce the number of images to log 2 N where N is the total number of stripes [3]. For more drastic reduction, a variety of special black-and-white, grey-level, or color patterns have been presented: color-stripe patterns [10,4,33], hybrid pattern [24], greylevel pattern [5], gray-level ramp [6], rainbow pattern [7], black-and-white boundary codes [21], 2D stripe patterns (or grid patterns) [26,28,29], M-array pattern [27], color sinusoidal patterns [8,22], color dot pattern [9], de Bruijn sequence patterns [12,13], and permutation patterns [11,31]. Some researchers have focused on scene properties [23], and scattering environment [25].…”

mentioning

confidence: 99%

Multi-projector color structured-light vision

Je¹,

Lee²,

Lee³

2013

Signal Processing: Image Communication

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Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using a single projector is restricted since the structured light is projected only onto a limited area of the object surface.Employing additional projectors to broaden the imaging area is a challenging problem since simultaneous projection of multiple patterns results in their superposition in the lightintersected areas and the recognition of original patterns is by no means trivial. This paper presents a novel method of multi-projector color structured-light vision based on projectorcamera triangulation. By analyzing the behavior of superposed-light colors in a chromaticity domain, we show that the original light colors cannot be properly extracted by the conventional direct estimation. We disambiguate multiple projectors by multiplexing the orientations of projector patterns so that the superposed patterns can be separated by explicit derivative computations. Experimental studies are carried out to demonstrate the validity of the presented method. The proposed method increases the efficiency of range acquisition compared to conventional active stereo using multiple projectors.

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Colour-stripe permutation pattern for rapid structured-light range imaging

Cited by 29 publications

References 13 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

A one-shot-projection method for measurement of specular surfaces

Multi-projector color structured-light vision

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