Optimal fringe angle selection for digital fringe projection technique

Wang, Yajun; Zhang, Song

doi:10.1364/ao.52.007094

Cited by 35 publications

(13 citation statements)

References 16 publications

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“…The principle of touch detection is based on the triangulation [30] in our interactive projection system. A linear-scanning method is proposed to detect the triangulation of the finger and its shadow without separating the hand from its shadow, which can increase the robustness of the system and reduce the computation cost.…”

Section: Touch Detectionmentioning

confidence: 99%

A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System

Song

Cheng

Feng

2017

Wireless Communications and Mobile Computing

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Crowdsensing leverages human intelligence/experience from the general public and social interactions to create participatory sensor networks, where context-aware and semantically complex information is gathered, processed, and shared to collaboratively solve specific problems. This paper proposes a real-time projector-camera finger system based on the crowdsensing, in which user can interact with a computer by bare hand touching on arbitrary surfaces. The interaction process of the system can be completely carried out automatically, and it can be used as an intelligent device in intelligent transport system where the driver can watch and interact with the display information while driving, without causing visual distractions. A single camera is used in the system to recover 3D information of fingertip for hand touch detection. A linear-scanning method is used in the system to determine the touch for increasing the users' collaboration and operationality. Experiments are performed to show the feasibility of the proposed system. The system is robust to different lighting conditions. The average percentage of correct hand touch detection of the system is 92.0% and the average time of processing one video frame is 30 milliseconds.

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Section: Touch Detectionmentioning

confidence: 99%

A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System

Song

Cheng

Feng

2017

Wireless Communications and Mobile Computing

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“…Figure 4 shows an example process of determining the optimal fringe angle under a particular system setup. As introduced in [29], the optimal fringe angle of a particular system setup can be determined by measuring a step-height object, shown in Fig. 4(a).…”

Section: B Least Squares Phase-shifting Algorithmmentioning

confidence: 99%

“…However, the methods belonging to this category are not trouble free since they all require horizontal and vertical patterns. According to Wang and Zhang [29], once the system is set up, there exists an optimal fringe angle for pattern projection which is most sensitive to depth variation, while its orthogonal fringe direction is regarded as the worst angle, which has almost no response to depth variation. In practical experiments, either horizontal or vertical patterns are used in most cases.…”

Section: Introductionmentioning

confidence: 99%

Structured light system calibration method with optimal fringe angle

Zhang

2014

Appl. Opt.

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For structured light system calibration, one popular approach is to treat the projector as an inverse camera. This is usually performed by projecting horizontal and vertical sequences of patterns to establish one-to-one mapping between camera points and projector points. However, for a well-designed system, either horizontal or vertical fringe images are not sensitive to depth variation and thus yield inaccurate mapping. As a result, the calibration accuracy is jeopardized if a conventional calibration method is used. To address this limitation, this paper proposes a novel calibration method based on optimal fringe angle determination. Experiments demonstrate that our calibration approach can increase the measurement accuracy up to 38% compared to the conventional calibration method with a calibration volume of 300(H) mm×250(W) mm×500(D) mm.

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“…Although it is easy to obtain a fringe angle of zero by projecting vertical fringe patterns, it is not equal to the systematic angle. Hence, the fringe patterns need to be projected at an optimal angle to ensure that the fringe angle is equal to the systematic angle, just as Wang and Zhang did [14].…”

Section: A Triangulation Principlementioning

confidence: 99%

“…Wang and Zhang made some research and indicated that simply projecting horizontal or vertical fringe patterns is not the best option to obtain optimal sensitivity to object depth variations. They proposed a method to determine the optimal fringe angle by projecting a set of horizontal and vertical fringe patterns onto a step-height object [14]. To our knowledge, the mathematical analysis of the optimal fringe angle is still lacking in the systems based on either the triangulation principle or the stereovision principle.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the relationship between fringe angle and three-dimensional profilometry system sensitivity

2014

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The relationship between projector-camera baseline and the phase variation direction of fringe patterns is one of the essential characteristics in a three-dimensional (3D) profilometry system, although it has been ignored. This paper indicates that a 3D profilometry system will be most sensitive to object depth change when the phase variation direction of the fringe patterns is parallel to the baseline, which is analyzed in systems based on both the triangulation and stereovision principles. An efficient method is proposed to achieve the most sensitivity by projecting a set of fringe patterns of different phase variation directions. Experimental results demonstrate our analysis and the proposed determination method.

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Optimal fringe angle selection for digital fringe projection technique

Cited by 35 publications

References 16 publications

A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System

A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System

Structured light system calibration method with optimal fringe angle

Analysis of the relationship between fringe angle and three-dimensional profilometry system sensitivity

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