Reflectance and Shape from Images Using a Collinear Light Source
Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or n...
Ausführliche Beschreibung
Autor*in: |
Lu, Jiping [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
1999 |
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Anmerkung: |
© Kluwer Academic Publishers 1999 |
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Übergeordnetes Werk: |
Enthalten in: International journal of computer vision - Kluwer Academic Publishers, 1987, 32(1999), 3 vom: Aug., Seite 213-240 |
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Übergeordnetes Werk: |
volume:32 ; year:1999 ; number:3 ; month:08 ; pages:213-240 |
Links: |
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DOI / URN: |
10.1023/A:1008157029424 |
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OLC205773630X |
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10.1023/A:1008157029424 doi (DE-627)OLC205773630X (DE-He213)A:1008157029424-p DE-627 ger DE-627 rakwb eng 004 VZ Lu, Jiping verfasserin aut Reflectance and Shape from Images Using a Collinear Light Source 1999 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1999 Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or near the viewing direction of the camera). The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. The experimental results and comprehensive analysis show that the proposed technique is efficient and robust. Little, James J. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 32(1999), 3 vom: Aug., Seite 213-240 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:32 year:1999 number:3 month:08 pages:213-240 https://doi.org/10.1023/A:1008157029424 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 32 1999 3 08 213-240 |
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10.1023/A:1008157029424 doi (DE-627)OLC205773630X (DE-He213)A:1008157029424-p DE-627 ger DE-627 rakwb eng 004 VZ Lu, Jiping verfasserin aut Reflectance and Shape from Images Using a Collinear Light Source 1999 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1999 Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or near the viewing direction of the camera). The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. The experimental results and comprehensive analysis show that the proposed technique is efficient and robust. Little, James J. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 32(1999), 3 vom: Aug., Seite 213-240 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:32 year:1999 number:3 month:08 pages:213-240 https://doi.org/10.1023/A:1008157029424 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 32 1999 3 08 213-240 |
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10.1023/A:1008157029424 doi (DE-627)OLC205773630X (DE-He213)A:1008157029424-p DE-627 ger DE-627 rakwb eng 004 VZ Lu, Jiping verfasserin aut Reflectance and Shape from Images Using a Collinear Light Source 1999 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1999 Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or near the viewing direction of the camera). The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. The experimental results and comprehensive analysis show that the proposed technique is efficient and robust. Little, James J. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 32(1999), 3 vom: Aug., Seite 213-240 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:32 year:1999 number:3 month:08 pages:213-240 https://doi.org/10.1023/A:1008157029424 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 32 1999 3 08 213-240 |
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10.1023/A:1008157029424 doi (DE-627)OLC205773630X (DE-He213)A:1008157029424-p DE-627 ger DE-627 rakwb eng 004 VZ Lu, Jiping verfasserin aut Reflectance and Shape from Images Using a Collinear Light Source 1999 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1999 Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or near the viewing direction of the camera). The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. The experimental results and comprehensive analysis show that the proposed technique is efficient and robust. Little, James J. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 32(1999), 3 vom: Aug., Seite 213-240 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:32 year:1999 number:3 month:08 pages:213-240 https://doi.org/10.1023/A:1008157029424 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 32 1999 3 08 213-240 |
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10.1023/A:1008157029424 doi (DE-627)OLC205773630X (DE-He213)A:1008157029424-p DE-627 ger DE-627 rakwb eng 004 VZ Lu, Jiping verfasserin aut Reflectance and Shape from Images Using a Collinear Light Source 1999 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1999 Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or near the viewing direction of the camera). The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. The experimental results and comprehensive analysis show that the proposed technique is efficient and robust. Little, James J. aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 32(1999), 3 vom: Aug., Seite 213-240 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:32 year:1999 number:3 month:08 pages:213-240 https://doi.org/10.1023/A:1008157029424 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2190 GBV_ILN_2244 GBV_ILN_2409 GBV_ILN_4046 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4700 AR 32 1999 3 08 213-240 |
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Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or near the viewing direction of the camera). The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. The experimental results and comprehensive analysis show that the proposed technique is efficient and robust. © Kluwer Academic Publishers 1999 |
abstractGer |
Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or near the viewing direction of the camera). The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. The experimental results and comprehensive analysis show that the proposed technique is efficient and robust. © Kluwer Academic Publishers 1999 |
abstract_unstemmed |
Abstract In this paper, a novel technique, called the photogeometric technique, is presented for surface reflectance extraction and surface recovery from an image sequence of a rotating object illuminated under a collinear light source (where the illuminant direction of the light source lies on or near the viewing direction of the camera). The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. The experimental results and comprehensive analysis show that the proposed technique is efficient and robust. © Kluwer Academic Publishers 1999 |
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up_date |
2024-07-03T16:06:10.885Z |
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The rotation of the object is precisely controlled. The object surface is assumed to be smooth and uniform. The technique first computes the 3D locations of some surface points which give singular brightness values and builds the surface reflectance function by extracting the brightness values of these surface points from the image sequence. Then the technique uses the surface reflectance function and two images of the surface to recover surface depth and orientation simultaneously. The technique has been tested on real images of surfaces with different reflectance properties and geometric structures. 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