Shape Measurement Method by Integrating Stereo Vision and Shape-from-Shading with Evolutionary Programming
In this paper, we propose a new method for measuring the shape of objects. The proposed method is based on integrating stereo vision and Shape-from Shading with Evolutionary Programming (EP). In some traditional methods the reflection of objects is diffuse reflection. But because the reflection of r...
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| Published in | Transactions of the Japan Society of Mechanical Engineers Series C Vol. 64; no. 620; pp. 1244 - 1249 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
The Japan Society of Mechanical Engineers
25.04.1998
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0387-5024 1884-8354 |
| DOI | 10.1299/kikaic.64.1244 |
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| Abstract | In this paper, we propose a new method for measuring the shape of objects. The proposed method is based on integrating stereo vision and Shape-from Shading with Evolutionary Programming (EP). In some traditional methods the reflection of objects is diffuse reflection. But because the reflection of real objects consists of diffuse and specular reflection, some methods cannot be applied to real objects. Photometric stereo can be applied to real objects but this method needs many original image for measuring the shape accurately. The proposed method can apply Phong model to a reflectivity function and measure the shape of the object which have the effect of diffuse and specular reflection. Then, this method uses EP for identifying the reflectivity function accurately. |
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| AbstractList | In this paper, we propose a new method for measuring the shape of objects. The proposed method is based on integrating stereo vision and Shape-from Shading with Evolutionary Programming (EP). In some traditional methods the reflection of objects is diffuse reflection. But because the reflection of real objects consists of diffuse and specular reflection, some methods cannot be applied to real objects. Photometric stereo can be applied to real objects but this method needs many original image for measuring the shape accurately. The proposed method can apply Phong model to a reflectivity function and measure the shape of the object which have the effect of diffuse and specular reflection. Then, this method uses EP for identifying the reflectivity function accurately. |
| Author | SHIMOJIMA, Koji KOBAYASHI, Futoshi FUKUDA, Toshio TAKUSAGAWA, Teruhiko |
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| DOI | 10.1299/kikaic.64.1244 |
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| References | (14) Fogel, L. J., Evolutionary Programming in perspective, (1994),135-146,New York:IEEE Press. (12) 楊駿•ほか2名,2光源ホトメトリックステレオ法による多面体の形状復元と反射率の推定,信学論,J78-2, D-II (1995),292-301. (1)下島康嗣•ほか5名,移動立体視による形状計測,第12回日本ロボット学会学術講演会,(1994),703-704. (6) Ohta, Y. and Kanade, T., Stereo by intra-and interscanline search using dynamic programming, IEEE trans. Pattern Analysis and Machine Intelligence,7- 2(1985),139-154. (10) 池内克史,反射率地図に基づき,二次元濃淡画像により三次元形状を再構成する2手法,信学論,J65-7, D-II (1985),842-849. (13) Phong, B. T., Illumination for computer generated pictures, Commun. of the ACM,18(1975),311-317. (2) Barnard, S. T. and Fischler, M. A., Computational Stereo, Computing Surveys,14(1982),553-572. (3) Horn, B. K. P, Understanding Image Intensities, Artificial Intelligence, 8(1977),201-231. (9) Horn, B. K. P.(Winston, P. H.編), Obtaining Shape from Shading Information, The Psychology of Com- puter Vision, (1975),115-155. (15) 野村由司彦•ほか3名,エッジ位置計測のサブピクセル化と誤差解析,信学論,J73-9, D-II(1990),1458-1467. (7) Medioni, G., Nevatia, R., Segment-based stereo matching, CVGIP,31(1985),2-18. (4) Woodham, R. J., Analysing Images of Curved Surfaces, Artificial In telligence,17-8(1981),117-140. (11) 岩堀祐之•ほか3名,未知の反射特性をもつ物体に対する拡張照度差ステレオ,信学論J71-1, D-II(1988),110- 117. (5) Grimson, W. E. L., Computational experiments with a feature based stereo algorithm, IEEE trans. Pattern Analysis and Machine Intelligence,7-1(1985),17-34. (8) 杉本和英•富田文明,ステレオによるシーンの解釈,電子情報通信学会論文誌J76-3, D-II(1993),524-533. |
| References_xml | – reference: (10) 池内克史,反射率地図に基づき,二次元濃淡画像により三次元形状を再構成する2手法,信学論,J65-7, D-II (1985),842-849. – reference: (14) Fogel, L. J., Evolutionary Programming in perspective, (1994),135-146,New York:IEEE Press. – reference: (4) Woodham, R. J., Analysing Images of Curved Surfaces, Artificial In telligence,17-8(1981),117-140. – reference: (13) Phong, B. T., Illumination for computer generated pictures, Commun. of the ACM,18(1975),311-317. – reference: (7) Medioni, G., Nevatia, R., Segment-based stereo matching, CVGIP,31(1985),2-18. – reference: (1)下島康嗣•ほか5名,移動立体視による形状計測,第12回日本ロボット学会学術講演会,(1994),703-704. – reference: (15) 野村由司彦•ほか3名,エッジ位置計測のサブピクセル化と誤差解析,信学論,J73-9, D-II(1990),1458-1467. – reference: (3) Horn, B. K. P, Understanding Image Intensities, Artificial Intelligence, 8(1977),201-231. – reference: (8) 杉本和英•富田文明,ステレオによるシーンの解釈,電子情報通信学会論文誌J76-3, D-II(1993),524-533. – reference: (11) 岩堀祐之•ほか3名,未知の反射特性をもつ物体に対する拡張照度差ステレオ,信学論J71-1, D-II(1988),110- 117. – reference: (9) Horn, B. K. P.(Winston, P. H.編), Obtaining Shape from Shading Information, The Psychology of Com- puter Vision, (1975),115-155. – reference: (6) Ohta, Y. and Kanade, T., Stereo by intra-and interscanline search using dynamic programming, IEEE trans. Pattern Analysis and Machine Intelligence,7- 2(1985),139-154. – reference: (12) 楊駿•ほか2名,2光源ホトメトリックステレオ法による多面体の形状復元と反射率の推定,信学論,J78-2, D-II (1995),292-301. – reference: (5) Grimson, W. E. L., Computational experiments with a feature based stereo algorithm, IEEE trans. Pattern Analysis and Machine Intelligence,7-1(1985),17-34. – reference: (2) Barnard, S. T. and Fischler, M. A., Computational Stereo, Computing Surveys,14(1982),553-572. |
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| Snippet | In this paper, we propose a new method for measuring the shape of objects. The proposed method is based on integrating stereo vision and Shape-from Shading... |
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| SubjectTerms | Artificial Intelligence Evolutionary Programming Image Processing Information Processing and Signal Analysis Shape from-Shading Shape Measurement Stereo Vision |
| Title | Shape Measurement Method by Integrating Stereo Vision and Shape-from-Shading with Evolutionary Programming |
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