One-shot entire shape scanning by utilizing multiple projector-camera constraints of grid patterns

Nozomu Kasuya; Ryusuke Sagawa; Ryo Furukawa; Hiroshi Kawasaki

doi:10.1109/ICCVW.2013.47

One-shot entire shape scanning by utilizing multiple projector-camera constraints of grid patterns

Nozomu Kasuya, Ryusuke Sagawa, Ryo Furukawa, Hiroshi Kawasaki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

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 multi-colored patterns. For the 3D reconstruction algorithm, one shot 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.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	299-306
Number of pages	8
ISBN (Print)	9781479930227
DOIs	https://doi.org/10.1109/ICCVW.2013.47
Publication status	Published - Jan 1 2013
Externally published	Yes
Event	2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013 - Sydney, NSW, Australia Duration: Dec 1 2013 → Dec 8 2013

Other

Other	2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013
Country/Territory	Australia
City	Sydney, NSW
Period	12/1/13 → 12/8/13

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition

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10.1109/ICCVW.2013.47

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Kasuya, N., Sagawa, R., Furukawa, R., & Kawasaki, H. (2013). One-shot entire shape scanning by utilizing multiple projector-camera constraints of grid patterns. In Proceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013 (pp. 299-306). [6755912] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2013.47

One-shot entire shape scanning by utilizing multiple projector-camera constraints of grid patterns. / Kasuya, Nozomu; Sagawa, Ryusuke; Furukawa, Ryo; Kawasaki, Hiroshi.

Proceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 299-306 6755912.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kasuya, N, Sagawa, R, Furukawa, R & Kawasaki, H 2013, One-shot entire shape scanning by utilizing multiple projector-camera constraints of grid patterns. in Proceedings - 2013 IEEE International Conference on Computer Vision Workshops, ICCVW 2013., 6755912, Institute of Electrical and Electronics Engineers Inc., pp. 299-306, 2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013, Sydney, NSW, Australia, 12/1/13. https://doi.org/10.1109/ICCVW.2013.47

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AB - 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 multi-colored patterns. For the 3D reconstruction algorithm, one shot 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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One-shot entire shape scanning by utilizing multiple projector-camera constraints of grid patterns

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