Robust and Accurate One-Shot 3D Reconstruction by 2C1P System with Wave Grid Pattern

Kasuya, Nozomu; Sagawa, Ryusuke; Furukawa, Ryo; Kawasaki, Hiroshi

doi:10.1109/3dv.2013.40

Cited by 9 publications

(6 citation statements)

References 19 publications

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“…E I and E S are the data and regularization terms, respectively. Refer [8] for the detailed explanation. E P represents the constraint between range images.…”

Section: Simultaneous Optimization Of Multiple Range Imagesmentioning

confidence: 98%

“…This approach is proposed in [8] and briefly explained here. Fig.4 shows how to generate edges between two graphs.…”

Section: Finding Correspondence With Constraints Between Camerasmentioning

confidence: 99%

“…If the pattern from a projector is observed by multiple cameras, it is easy to merge the information as a range image without considering the visibility. This approach is proposed in [8] and briefly explained here. Fig.6 shows the situation that a grid point t p of the projector pattern has correspondences with points, p i and p j , of both two cameras.…”

Section: Generating Range Image For Each Projectormentioning

confidence: 99%

“…The basic system has a single projector and a single camera (1C1P). If two cameras can be used, a method that extends the basic method is proposed in [8] to improve the robustness and accuracy by introducing additional constraint between cameras. Since we have multiple cameras and projectors in this paper, more constraints can be added to the scheme for finding correspondence on the graph created by the grid patterns.…”

Section: Grid-based Active Multi-view Stereomentioning

confidence: 99%

“…The energy proposed in [8] consists of the data term and regularization term. The data term is calculated by the difference of intensities between the camera and the projector, and the regularization term is defined by using the curvature around each vertex of the mesh model.…”

Section: Simultaneous Optimization Of Multiple Range Imagesmentioning

confidence: 99%

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One-Shot Entire Shape Scanning by Utilizing Multiple Projector-Camera Constraints of Grid Patterns

Kasuya

Sagawa

Furukawa

et al. 2013

2013 IEEE International Conference on Computer Vision Workshops

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This paper proposes a method to reconstruct the entire shape of moving objects by using multiple cameras and projectors. The projectors simultaneously cast static grid patterns of wave lines. Each of the projected patterns is a single-colored pattern of either red, green, or blue. Those patterns can be decomposed stably, compared to multicolored patterns. For the 3D reconstruction algorithm, oneshot reconstruction with wave grid pattern is extended for entire-shape acquisition, so that the correspondences between the adjacent devices can be used as additional constraints to reduce shape errors. Finally, multiple shapes obtained from the different views are merged into a single polygon mesh model using estimated normal information for each vertex.

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“…E I and E S are the data and regularization terms, respectively. Refer [8] for the detailed explanation. E P represents the constraint between range images.…”

Section: Simultaneous Optimization Of Multiple Range Imagesmentioning

confidence: 98%

“…This approach is proposed in [8] and briefly explained here. Fig.4 shows how to generate edges between two graphs.…”

Section: Finding Correspondence With Constraints Between Camerasmentioning

confidence: 99%

Section: Generating Range Image For Each Projectormentioning

confidence: 99%

Section: Grid-based Active Multi-view Stereomentioning

confidence: 99%

Section: Simultaneous Optimization Of Multiple Range Imagesmentioning

confidence: 99%

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One-Shot Entire Shape Scanning by Utilizing Multiple Projector-Camera Constraints of Grid Patterns

Kasuya

Sagawa

Furukawa

et al. 2013

2013 IEEE International Conference on Computer Vision Workshops

Self Cite

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show abstract

Structured Light

Ikeuchi¹,

Matsushita²,

Sagawa³

et al. 2020

Active Lighting and Its Application for Computer Vision

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GOBO projection for 3D measurements at highest frame rates: a performance analysis

et al. 2018

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Aperiodic sinusoidal patterns that are cast by a GOBO (GOes Before Optics) projector are a powerful tool for optically measuring the surface topography of moving or deforming objects with very high speed and accuracy. We optimised the first experimental setup that we were able to measure inflating car airbags at frame rates of more than 50 kHz while achieving a 3D point standard deviation of ~500 µm. Here, we theoretically investigate the method of GOBO projection of aperiodic sinusoidal fringes. In a simulation-based performance analysis, we examine the parameters that influence the accuracy of the measurement result and identify an optimal pattern design that yields the highest measurement accuracy. We compare the results with those that were obtained via GOBO projection of phase-shifted sinusoidal fringes. Finally, we experimentally verify the theoretical findings. We show that the proposed technique has several advantages over conventional fringe projection techniques, as the easy-to-build and cost-effective GOBO projector can provide a high radiant flux, allows high frame rates, and can be used over a wide spectral range.

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Robust and Accurate One-Shot 3D Reconstruction by 2C1P System with Wave Grid Pattern

Cited by 9 publications

References 19 publications

One-Shot Entire Shape Scanning by Utilizing Multiple Projector-Camera Constraints of Grid Patterns

One-Shot Entire Shape Scanning by Utilizing Multiple Projector-Camera Constraints of Grid Patterns

Structured Light

GOBO projection for 3D measurements at highest frame rates: a performance analysis

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