Multi-Ocular 3D Shape Measurement without Feature Extraction Using Backprojection Method

Kenpo TSUCHIYA; Shuji HASHIMOTO; Toshiaki MATSUSHIMA

Multi-Ocular 3D Shape Measurement without Feature Extraction Using Backprojection Method

Kenpo TSUCHIYA, Shuji HASHIMOTO, Toshiaki MATSUSHIMA

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In this paper, we propose a new method to measure the 3D object shape without special purpose lighting based upon the Backprojection of Pixel Data.This method need not extract feature points such as edges from images at all and can measure not only the feature points but the whole object surface. It is simply done by project all pixel data back into the object space from each image. Actually, we first assign all pixel data of images into voxels in the object space, and evaluate the variance of assigned data for all voxels. This process is based on the idea that a point on the object surface gives the similar color information or gray level when it is observed from different view points. Then, two kinds of voting are executed as an enhancement process to eliminate the voxels containing the false points. We present experimental results under the circular constraint of camera movement and show the possibility of the proposed method.

Publication: IEICE TRANSACTIONS on Information Vol.E78-D No.12 pp.1607-1614

Publication Date: 1995/12/25

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Type of Manuscript: Special Section PAPER (Special Issue on Machine Vision Applications)

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Kenpo TSUCHIYA, Shuji HASHIMOTO, Toshiaki MATSUSHIMA, "Multi-Ocular 3D Shape Measurement without Feature Extraction Using Backprojection Method" in IEICE TRANSACTIONS on Information, vol. E78-D, no. 12, pp. 1607-1614, December 1995, doi: .
Abstract: In this paper, we propose a new method to measure the 3D object shape without special purpose lighting based upon the Backprojection of Pixel Data.This method need not extract feature points such as edges from images at all and can measure not only the feature points but the whole object surface. It is simply done by project all pixel data back into the object space from each image. Actually, we first assign all pixel data of images into voxels in the object space, and evaluate the variance of assigned data for all voxels. This process is based on the idea that a point on the object surface gives the similar color information or gray level when it is observed from different view points. Then, two kinds of voting are executed as an enhancement process to eliminate the voxels containing the false points. We present experimental results under the circular constraint of camera movement and show the possibility of the proposed method.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e78-d_12_1607/_p

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@ARTICLE{e78-d_12_1607,
author={Kenpo TSUCHIYA, Shuji HASHIMOTO, Toshiaki MATSUSHIMA, },
journal={IEICE TRANSACTIONS on Information},
title={Multi-Ocular 3D Shape Measurement without Feature Extraction Using Backprojection Method},
year={1995},
volume={E78-D},
number={12},
pages={1607-1614},
abstract={In this paper, we propose a new method to measure the 3D object shape without special purpose lighting based upon the Backprojection of Pixel Data.This method need not extract feature points such as edges from images at all and can measure not only the feature points but the whole object surface. It is simply done by project all pixel data back into the object space from each image. Actually, we first assign all pixel data of images into voxels in the object space, and evaluate the variance of assigned data for all voxels. This process is based on the idea that a point on the object surface gives the similar color information or gray level when it is observed from different view points. Then, two kinds of voting are executed as an enhancement process to eliminate the voxels containing the false points. We present experimental results under the circular constraint of camera movement and show the possibility of the proposed method.},
keywords={},
doi={},
ISSN={},
month={December},}

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TY - JOUR
TI - Multi-Ocular 3D Shape Measurement without Feature Extraction Using Backprojection Method
T2 - IEICE TRANSACTIONS on Information
SP - 1607
EP - 1614
AU - Kenpo TSUCHIYA
AU - Shuji HASHIMOTO
AU - Toshiaki MATSUSHIMA
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E78-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 1995
AB - In this paper, we propose a new method to measure the 3D object shape without special purpose lighting based upon the Backprojection of Pixel Data.This method need not extract feature points such as edges from images at all and can measure not only the feature points but the whole object surface. It is simply done by project all pixel data back into the object space from each image. Actually, we first assign all pixel data of images into voxels in the object space, and evaluate the variance of assigned data for all voxels. This process is based on the idea that a point on the object surface gives the similar color information or gray level when it is observed from different view points. Then, two kinds of voting are executed as an enhancement process to eliminate the voxels containing the false points. We present experimental results under the circular constraint of camera movement and show the possibility of the proposed method.
ER -