The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo propõe um novo método para reconstruir uma forma de réplica da superfície da pele a partir de uma sequência de imagens sombreadas obtidas com diferentes direções de fonte de luz. Como as imagens sombreadas incluem sombras causadas pela flutuação da altura da superfície e reflexões especulares e inter-reflexas, o método estéreo fotométrico convencional não é adequado para reconstruir sua superfície com precisão. No método proposto, escolhemos a intensidade medida que não inclui reflexões especulares e inter-reflexões e auto-sombras para que possamos calcular o vetor normal preciso a partir da intensidade medida selecionada usando o método SVD (Singular Value Decomposition). Os resultados experimentais de imagens reais demonstram que o método proposto é eficaz para reconstrução de formas a partir de imagens sombreadas, que incluem reflexões especulares, inter-reflexas e auto-sombras.
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Takeshi YAMADA, Hideo SAITO, Shinji OZAWA, "3D Reconstruction of Skin Surface from Image Sequence" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 7, pp. 1415-1421, July 2000, doi: .
Abstract: This paper proposes a new method for reconstruction a shape of skin surface replica from shaded image sequence taken with different light source directions. Since the shaded images include shadows caused by surface height fluctuation, and specular and inter reflections, the conventional photometric stereo method is not suitable for reconstructing its surface accurately. In the proposed method, we choose measured intensity which does not include specular and inter reflections and self-shadows so that we can calculate accurate normal vector from the selected measured intensity using SVD (Singular Value Decomposition) method. The experimental results from real images demonstrate that the proposed method is effective for shape reconstruction from shaded images, which include specular and inter reflections and self-shadows.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_7_1415/_p
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@ARTICLE{e83-d_7_1415,
author={Takeshi YAMADA, Hideo SAITO, Shinji OZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={3D Reconstruction of Skin Surface from Image Sequence},
year={2000},
volume={E83-D},
number={7},
pages={1415-1421},
abstract={This paper proposes a new method for reconstruction a shape of skin surface replica from shaded image sequence taken with different light source directions. Since the shaded images include shadows caused by surface height fluctuation, and specular and inter reflections, the conventional photometric stereo method is not suitable for reconstructing its surface accurately. In the proposed method, we choose measured intensity which does not include specular and inter reflections and self-shadows so that we can calculate accurate normal vector from the selected measured intensity using SVD (Singular Value Decomposition) method. The experimental results from real images demonstrate that the proposed method is effective for shape reconstruction from shaded images, which include specular and inter reflections and self-shadows.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - 3D Reconstruction of Skin Surface from Image Sequence
T2 - IEICE TRANSACTIONS on Information
SP - 1415
EP - 1421
AU - Takeshi YAMADA
AU - Hideo SAITO
AU - Shinji OZAWA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2000
AB - This paper proposes a new method for reconstruction a shape of skin surface replica from shaded image sequence taken with different light source directions. Since the shaded images include shadows caused by surface height fluctuation, and specular and inter reflections, the conventional photometric stereo method is not suitable for reconstructing its surface accurately. In the proposed method, we choose measured intensity which does not include specular and inter reflections and self-shadows so that we can calculate accurate normal vector from the selected measured intensity using SVD (Singular Value Decomposition) method. The experimental results from real images demonstrate that the proposed method is effective for shape reconstruction from shaded images, which include specular and inter reflections and self-shadows.
ER -