Using frontier points to recover shape, reflectance and illumination

George Vogiatzis; Paolo Favaro; Roberto Cipolla

doi:10.1109/ICCV.2005.244

Using frontier points to recover shape, reflectance and illumination

George Vogiatzis^*, Paolo Favaro, Roberto Cipolla

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

We describe a method to recover the surface reflectance and the 3-d shape of a non-Lambertian object as well as illumination, from a collection of images. It is based on the so-called frontier points, which are extracted from the outlines of an object. Frontier points provide 3-d locations on the object surface where the surface normal is known. This information is exploited to infer the surface reflectance of the object and the light distribution of the scene both under varying illumination and fixed vantage point, and under varying vantage point and fixed illumination. We also show how to apply frontier points for shape recovery in photometric stereo. The effectiveness of frontier points for recovering reflectance, illumination and shape is confirmed by a number of experiments on both real and synthetic data.

Original language	English
Title of host publication	Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
Publisher	IEEE
Pages	228-235
Number of pages	8
ISBN (Print)	076952334X, 9780769523347
DOIs	https://doi.org/10.1109/ICCV.2005.244
Publication status	Published - 5 Dec 2005
Event	Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 - Beijing, China Duration: 17 Oct 2005 → 20 Oct 2005

Publication series

Name	Proceedings of the IEEE International Conference on Computer Vision
Volume	I

Conference

Conference	Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
Country/Territory	China
City	Beijing
Period	17/10/05 → 20/10/05

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10.1109/ICCV.2005.244

Cite this

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title = "Using frontier points to recover shape, reflectance and illumination",

abstract = "We describe a method to recover the surface reflectance and the 3-d shape of a non-Lambertian object as well as illumination, from a collection of images. It is based on the so-called frontier points, which are extracted from the outlines of an object. Frontier points provide 3-d locations on the object surface where the surface normal is known. This information is exploited to infer the surface reflectance of the object and the light distribution of the scene both under varying illumination and fixed vantage point, and under varying vantage point and fixed illumination. We also show how to apply frontier points for shape recovery in photometric stereo. The effectiveness of frontier points for recovering reflectance, illumination and shape is confirmed by a number of experiments on both real and synthetic data.",

author = "George Vogiatzis and Paolo Favaro and Roberto Cipolla",

year = "2005",

month = dec,

day = "5",

doi = "10.1109/ICCV.2005.244",

language = "English",

isbn = "076952334X",

series = "Proceedings of the IEEE International Conference on Computer Vision",

publisher = "IEEE",

pages = "228--235",

booktitle = "Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005",

address = "United States",

note = "Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 ; Conference date: 17-10-2005 Through 20-10-2005",

}

Vogiatzis, G, Favaro, P & Cipolla, R 2005, Using frontier points to recover shape, reflectance and illumination. in Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005., 1541261, Proceedings of the IEEE International Conference on Computer Vision, vol. I, IEEE, pp. 228-235, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005, Beijing, China, 17/10/05. https://doi.org/10.1109/ICCV.2005.244

Using frontier points to recover shape, reflectance and illumination. / Vogiatzis, George; Favaro, Paolo; Cipolla, Roberto.
Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005. IEEE, 2005. p. 228-235 1541261 (Proceedings of the IEEE International Conference on Computer Vision; Vol. I).

Research output: Chapter in Book/Published conference output › Conference publication

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T1 - Using frontier points to recover shape, reflectance and illumination

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AU - Favaro, Paolo

AU - Cipolla, Roberto

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N2 - We describe a method to recover the surface reflectance and the 3-d shape of a non-Lambertian object as well as illumination, from a collection of images. It is based on the so-called frontier points, which are extracted from the outlines of an object. Frontier points provide 3-d locations on the object surface where the surface normal is known. This information is exploited to infer the surface reflectance of the object and the light distribution of the scene both under varying illumination and fixed vantage point, and under varying vantage point and fixed illumination. We also show how to apply frontier points for shape recovery in photometric stereo. The effectiveness of frontier points for recovering reflectance, illumination and shape is confirmed by a number of experiments on both real and synthetic data.

AB - We describe a method to recover the surface reflectance and the 3-d shape of a non-Lambertian object as well as illumination, from a collection of images. It is based on the so-called frontier points, which are extracted from the outlines of an object. Frontier points provide 3-d locations on the object surface where the surface normal is known. This information is exploited to infer the surface reflectance of the object and the light distribution of the scene both under varying illumination and fixed vantage point, and under varying vantage point and fixed illumination. We also show how to apply frontier points for shape recovery in photometric stereo. The effectiveness of frontier points for recovering reflectance, illumination and shape is confirmed by a number of experiments on both real and synthetic data.

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SN - 9780769523347

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T2 - Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005

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ER -

Using frontier points to recover shape, reflectance and illumination

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