Capture and Synthesis of 3D Surface Texture

Abstract We present and compare five approaches for capturing, synthesising and relighting real 3D surface textures. Unlike 2D texture synthesis techniques they allow the captured textures to be relit using illumination conditions that differ from those of the original. We adapted a texture quilting...
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Autor*in:	Dong, Junyu [verfasserIn] Chantler, Mike

Format:	Artikel
Sprache:	Englisch

Erschienen:	2005

Schlagwörter:	Texture Synthesis Surface Gradient Qualitative Test Specular Surface Real Texture

Anmerkung:	© Kluwer Academic Publishers 2005

Übergeordnetes Werk:	Enthalten in: International journal of computer vision - Kluwer Academic Publishers, 1987, 62(2005), 1-2 vom: Apr., Seite 177-194
Übergeordnetes Werk:	volume:62 ; year:2005 ; number:1-2 ; month:04 ; pages:177-194

Links:	Volltext

DOI / URN:	10.1023/B:VISI.0000046595.00028.f1

Katalog-ID:	OLC2057740056

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650		4	\|a Texture Synthesis
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allfields	10.1023/B:VISI.0000046595.00028.f1 doi (DE-627)OLC2057740056 (DE-He213)B:VISI.0000046595.00028.f1-p DE-627 ger DE-627 rakwb eng 004 VZ Dong, Junyu verfasserin aut Capture and Synthesis of 3D Surface Texture 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2005 Abstract We present and compare five approaches for capturing, synthesising and relighting real 3D surface textures. Unlike 2D texture synthesis techniques they allow the captured textures to be relit using illumination conditions that differ from those of the original. We adapted a texture quilting method due to Efros and combined this with five different relighting representations, comprising: a set of three photometric images; surface gradient and albedo maps; polynomial texture maps; and two eigen based representations using 3 and 6 base images. We used twelve real textures to perform quantitative tests on the relighting methods in isolation. We developed a qualitative test for the assessment of the complete synthesis systems. Ten observers were asked to rank the images obtained from the five methods using five real textures. Statistical tests were applied to the rankings. The six-base-image eigen method produced the best quantitative relighting results and in particular was better able to cope with specular surfaces. However, in the qualitative tests there were no significant performance differences detected between it and the other two top performers. Our conclusion is therefore that the cheaper gradient and three-base-image eigen methods should be used in preference, especially where the surfaces are Lambertian or near Lambertian. Texture Synthesis Surface Gradient Qualitative Test Specular Surface Real Texture Chantler, Mike aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 62(2005), 1-2 vom: Apr., Seite 177-194 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:62 year:2005 number:1-2 month:04 pages:177-194 https://doi.org/10.1023/B:VISI.0000046595.00028.f1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_100 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2244 GBV_ILN_4046 GBV_ILN_4116 GBV_ILN_4700 AR 62 2005 1-2 04 177-194
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allfields_unstemmed	10.1023/B:VISI.0000046595.00028.f1 doi (DE-627)OLC2057740056 (DE-He213)B:VISI.0000046595.00028.f1-p DE-627 ger DE-627 rakwb eng 004 VZ Dong, Junyu verfasserin aut Capture and Synthesis of 3D Surface Texture 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2005 Abstract We present and compare five approaches for capturing, synthesising and relighting real 3D surface textures. Unlike 2D texture synthesis techniques they allow the captured textures to be relit using illumination conditions that differ from those of the original. We adapted a texture quilting method due to Efros and combined this with five different relighting representations, comprising: a set of three photometric images; surface gradient and albedo maps; polynomial texture maps; and two eigen based representations using 3 and 6 base images. We used twelve real textures to perform quantitative tests on the relighting methods in isolation. We developed a qualitative test for the assessment of the complete synthesis systems. Ten observers were asked to rank the images obtained from the five methods using five real textures. Statistical tests were applied to the rankings. The six-base-image eigen method produced the best quantitative relighting results and in particular was better able to cope with specular surfaces. However, in the qualitative tests there were no significant performance differences detected between it and the other two top performers. Our conclusion is therefore that the cheaper gradient and three-base-image eigen methods should be used in preference, especially where the surfaces are Lambertian or near Lambertian. Texture Synthesis Surface Gradient Qualitative Test Specular Surface Real Texture Chantler, Mike aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 62(2005), 1-2 vom: Apr., Seite 177-194 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:62 year:2005 number:1-2 month:04 pages:177-194 https://doi.org/10.1023/B:VISI.0000046595.00028.f1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_100 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2244 GBV_ILN_4046 GBV_ILN_4116 GBV_ILN_4700 AR 62 2005 1-2 04 177-194
allfieldsGer	10.1023/B:VISI.0000046595.00028.f1 doi (DE-627)OLC2057740056 (DE-He213)B:VISI.0000046595.00028.f1-p DE-627 ger DE-627 rakwb eng 004 VZ Dong, Junyu verfasserin aut Capture and Synthesis of 3D Surface Texture 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2005 Abstract We present and compare five approaches for capturing, synthesising and relighting real 3D surface textures. Unlike 2D texture synthesis techniques they allow the captured textures to be relit using illumination conditions that differ from those of the original. We adapted a texture quilting method due to Efros and combined this with five different relighting representations, comprising: a set of three photometric images; surface gradient and albedo maps; polynomial texture maps; and two eigen based representations using 3 and 6 base images. We used twelve real textures to perform quantitative tests on the relighting methods in isolation. We developed a qualitative test for the assessment of the complete synthesis systems. Ten observers were asked to rank the images obtained from the five methods using five real textures. Statistical tests were applied to the rankings. The six-base-image eigen method produced the best quantitative relighting results and in particular was better able to cope with specular surfaces. However, in the qualitative tests there were no significant performance differences detected between it and the other two top performers. Our conclusion is therefore that the cheaper gradient and three-base-image eigen methods should be used in preference, especially where the surfaces are Lambertian or near Lambertian. Texture Synthesis Surface Gradient Qualitative Test Specular Surface Real Texture Chantler, Mike aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 62(2005), 1-2 vom: Apr., Seite 177-194 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:62 year:2005 number:1-2 month:04 pages:177-194 https://doi.org/10.1023/B:VISI.0000046595.00028.f1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_100 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2244 GBV_ILN_4046 GBV_ILN_4116 GBV_ILN_4700 AR 62 2005 1-2 04 177-194
allfieldsSound	10.1023/B:VISI.0000046595.00028.f1 doi (DE-627)OLC2057740056 (DE-He213)B:VISI.0000046595.00028.f1-p DE-627 ger DE-627 rakwb eng 004 VZ Dong, Junyu verfasserin aut Capture and Synthesis of 3D Surface Texture 2005 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 2005 Abstract We present and compare five approaches for capturing, synthesising and relighting real 3D surface textures. Unlike 2D texture synthesis techniques they allow the captured textures to be relit using illumination conditions that differ from those of the original. We adapted a texture quilting method due to Efros and combined this with five different relighting representations, comprising: a set of three photometric images; surface gradient and albedo maps; polynomial texture maps; and two eigen based representations using 3 and 6 base images. We used twelve real textures to perform quantitative tests on the relighting methods in isolation. We developed a qualitative test for the assessment of the complete synthesis systems. Ten observers were asked to rank the images obtained from the five methods using five real textures. Statistical tests were applied to the rankings. The six-base-image eigen method produced the best quantitative relighting results and in particular was better able to cope with specular surfaces. However, in the qualitative tests there were no significant performance differences detected between it and the other two top performers. Our conclusion is therefore that the cheaper gradient and three-base-image eigen methods should be used in preference, especially where the surfaces are Lambertian or near Lambertian. Texture Synthesis Surface Gradient Qualitative Test Specular Surface Real Texture Chantler, Mike aut Enthalten in International journal of computer vision Kluwer Academic Publishers, 1987 62(2005), 1-2 vom: Apr., Seite 177-194 (DE-627)129354252 (DE-600)155895-X (DE-576)018081428 0920-5691 nnns volume:62 year:2005 number:1-2 month:04 pages:177-194 https://doi.org/10.1023/B:VISI.0000046595.00028.f1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_70 GBV_ILN_100 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2012 GBV_ILN_2244 GBV_ILN_4046 GBV_ILN_4116 GBV_ILN_4700 AR 62 2005 1-2 04 177-194
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title_auth	Capture and Synthesis of 3D Surface Texture
abstract	Abstract We present and compare five approaches for capturing, synthesising and relighting real 3D surface textures. Unlike 2D texture synthesis techniques they allow the captured textures to be relit using illumination conditions that differ from those of the original. We adapted a texture quilting method due to Efros and combined this with five different relighting representations, comprising: a set of three photometric images; surface gradient and albedo maps; polynomial texture maps; and two eigen based representations using 3 and 6 base images. We used twelve real textures to perform quantitative tests on the relighting methods in isolation. We developed a qualitative test for the assessment of the complete synthesis systems. Ten observers were asked to rank the images obtained from the five methods using five real textures. Statistical tests were applied to the rankings. The six-base-image eigen method produced the best quantitative relighting results and in particular was better able to cope with specular surfaces. However, in the qualitative tests there were no significant performance differences detected between it and the other two top performers. Our conclusion is therefore that the cheaper gradient and three-base-image eigen methods should be used in preference, especially where the surfaces are Lambertian or near Lambertian. © Kluwer Academic Publishers 2005
abstractGer	Abstract We present and compare five approaches for capturing, synthesising and relighting real 3D surface textures. Unlike 2D texture synthesis techniques they allow the captured textures to be relit using illumination conditions that differ from those of the original. We adapted a texture quilting method due to Efros and combined this with five different relighting representations, comprising: a set of three photometric images; surface gradient and albedo maps; polynomial texture maps; and two eigen based representations using 3 and 6 base images. We used twelve real textures to perform quantitative tests on the relighting methods in isolation. We developed a qualitative test for the assessment of the complete synthesis systems. Ten observers were asked to rank the images obtained from the five methods using five real textures. Statistical tests were applied to the rankings. The six-base-image eigen method produced the best quantitative relighting results and in particular was better able to cope with specular surfaces. However, in the qualitative tests there were no significant performance differences detected between it and the other two top performers. Our conclusion is therefore that the cheaper gradient and three-base-image eigen methods should be used in preference, especially where the surfaces are Lambertian or near Lambertian. © Kluwer Academic Publishers 2005
abstract_unstemmed	Abstract We present and compare five approaches for capturing, synthesising and relighting real 3D surface textures. Unlike 2D texture synthesis techniques they allow the captured textures to be relit using illumination conditions that differ from those of the original. We adapted a texture quilting method due to Efros and combined this with five different relighting representations, comprising: a set of three photometric images; surface gradient and albedo maps; polynomial texture maps; and two eigen based representations using 3 and 6 base images. We used twelve real textures to perform quantitative tests on the relighting methods in isolation. We developed a qualitative test for the assessment of the complete synthesis systems. Ten observers were asked to rank the images obtained from the five methods using five real textures. Statistical tests were applied to the rankings. The six-base-image eigen method produced the best quantitative relighting results and in particular was better able to cope with specular surfaces. However, in the qualitative tests there were no significant performance differences detected between it and the other two top performers. Our conclusion is therefore that the cheaper gradient and three-base-image eigen methods should be used in preference, especially where the surfaces are Lambertian or near Lambertian. © Kluwer Academic Publishers 2005
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container_issue	1-2
title_short	Capture and Synthesis of 3D Surface Texture
url	https://doi.org/10.1023/B:VISI.0000046595.00028.f1
remote_bool	false
author2	Chantler, Mike
author2Str	Chantler, Mike
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doi_str	10.1023/B:VISI.0000046595.00028.f1
up_date	2024-07-03T16:07:00.594Z
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