Multiview phase shifting: a full-resolution and high-speed 3D measurement framework for arbitrary shape dynamic objects

Li, Zhongwei; Zhong, Kai; Li, Y F; Zhou, Xiaohui; Shi, Yusheng

doi:10.1364/ol.38.001389

Cited by 123 publications

(29 citation statements)

References 9 publications

(12 reference statements)

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“…Here, coarse fringes are projected for indexing and fine fringes are projected subsequently for precision. The authors of [34,35] avoid the projection of many different fringe periods. They use two cameras with different triangulation angles for phase unwrapping ("indexing").…”

Section: Discussion and Outlookmentioning

confidence: 99%

Single-shot three-dimensional sensing with improved data density

Willomitzer¹,

Ettl²,

Faber³

et al. 2015

Appl. Opt.

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We introduce a novel concept for motion robust optical 3D sensing. The concept is based on multiline triangulation. The aim is to evaluate a large number of projected lines (high data density), in a large measurement volume, with high precision. Implementing all those attributes at the same time principally allows for the "perfect" single-shot 3D movie camera (our long-term goal). The key problem toward this goal is ambiguous line indexing: we will demonstrate that the necessary information for unique line indexing can be acquired by two synchronized cameras and a back projection scheme. The introduced concept preserves high lateral resolution, since the lines are as narrow as the sampling theorem allows. No spatial bandwidth is consumed by encoding of the lines. In principle, the distance uncertainty is only limited by shot noise and coherent noise. The concept can be also advantageously implemented as a hand-guided sensor with real-time registration, for a complete and dense 3D acquisition of complicated scenes.

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Section: Discussion and Outlookmentioning

confidence: 99%

Single-shot three-dimensional sensing with improved data density

Willomitzer¹,

Ettl²,

Faber³

et al. 2015

Appl. Opt.

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“…The basic principle of phase shifting is: captured multiple fringe images, which have a certain phase shift, are used to calculate the initial values of the deformed surface which containing three-dimensional information [15]. Currently, there are a variety of phase-shifting algorithms, and each algorithm stability and error response are not the same, therefore, the selection of the phase-shifting algorithm has an important influence on subsequent phase calculation and reconstruction precision [16]. In our system, we use a four-step phase-shifting algorithm to obtain the phase grating.…”

Section: A Four-step Phase-shifting Algorithmmentioning

confidence: 99%

High Dynamic Range Saturation Intelligence Avoidance for Three-Dimensional Shape Measurement

Zhang

Ouyang

Zhang

2015

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

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There always exists an intractable challenge in three-dimensional (3D) object surface measurement that it is difficult to deal with the scene with a large range reflectivity or specular reflection. This paper presents a novel 3D measurement technique: high dynamic range saturation intelligence avoidance (HDRSIA), which is based on the multiexposure principle. This method divides the object surface into several parts according to the color distribution and leverages the modified curve fitting technique to capture the best exposure time for each part, intelligently and precisely. A set of modified fringe images are then composite to a complete image contained the information of brightness part and darkness part. Experiment results verify that the proposed method can build the accurate 3D point cloud model for object surface with high dynamic range of surface reflectivity variation.

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“…Taking advantage of the geometric constraints of the trio sensors (two cameras and one projector), References [59][60][61] presented 3D shape measurement techniques without phase unwrapping. However, similar to prior phase-based methods, these methods require projector calibration, which is usually not easy and even more difficult for nonlinear projection sources.…”

Section: Introductionmentioning

confidence: 99%

“…This proposed method combines the advantages of the stereo approach and the phasebased approach: using a stereo matching algorithm to obtain the coarse disparity map to avoid the global searching problem associated with the method in [59]; and using the local wrapped phase information to further refine the coarse disparity for higher measurement accuracy. Furthermore, the proposed method does not require any geometric constraint imposed by the projector, and thus no projector calibration is required, further simplifying the system development.…”

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.

show abstract

Multiview phase shifting: a full-resolution and high-speed 3D measurement framework for arbitrary shape dynamic objects

Cited by 123 publications

References 9 publications

Single-shot three-dimensional sensing with improved data density

Single-shot three-dimensional sensing with improved data density

High Dynamic Range Saturation Intelligence Avoidance for Three-Dimensional Shape Measurement

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

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