Geometric and photometric restoration of distorted documents

Mingxuan Sun; Ruigang Yang; Lin Yun; George Landon; Brent Scales; Michael S. Brown

doi:10.1109/ICCV.2005.106

Geometric and photometric restoration of distorted documents

Mingxuan Sun, Ruigang Yang, Lin Yun, George Landon, Brent Scales, Michael S. Brown

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

34 Scopus citations

Abstract

We present a system to restore the 2D content printed on distorted documents. Our system works by acquiring a 3D scan of the document's surface together with a high-resolution image. Using the 3D surface information and the 2D image, we can ameliorate unwanted surface distortion and effects from non-uniform illumination. Our system can process arbitrary geometric distortions, not requiring any pre-assumed parametric models for the document's geometry. The illumination correction uses the 3D shape to distinguish content edges from illumination edges to recover the 2D content's reflectance image while making no assumptions about light sources and their positions. Results are shown for real objects, demonstrating a complete framework capable of restoring geometric and photometric artifacts on distorted documents.

Original language	English
Title of host publication	Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
Pages	1117-1123
Number of pages	7
DOIs	https://doi.org/10.1109/ICCV.2005.106
State	Published - 2005
Event	Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 - Beijing, China Duration: Oct 17 2005 → Oct 20 2005

Publication series

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

Conference

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

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICCV.2005.106

Cite this

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title = "Geometric and photometric restoration of distorted documents",

abstract = "We present a system to restore the 2D content printed on distorted documents. Our system works by acquiring a 3D scan of the document's surface together with a high-resolution image. Using the 3D surface information and the 2D image, we can ameliorate unwanted surface distortion and effects from non-uniform illumination. Our system can process arbitrary geometric distortions, not requiring any pre-assumed parametric models for the document's geometry. The illumination correction uses the 3D shape to distinguish content edges from illumination edges to recover the 2D content's reflectance image while making no assumptions about light sources and their positions. Results are shown for real objects, demonstrating a complete framework capable of restoring geometric and photometric artifacts on distorted documents.",

author = "Mingxuan Sun and Ruigang Yang and Lin Yun and George Landon and Brent Scales and Brown, {Michael S.}",

year = "2005",

doi = "10.1109/ICCV.2005.106",

language = "English",

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

pages = "1117--1123",

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

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

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Sun, M, Yang, R, Yun, L, Landon, G, Scales, B & Brown, MS 2005, Geometric and photometric restoration of distorted documents. in Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005., 1544846, Proceedings of the IEEE International Conference on Computer Vision, vol. II, pp. 1117-1123, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005, Beijing, China, 10/17/05. https://doi.org/10.1109/ICCV.2005.106

Geometric and photometric restoration of distorted documents. / Sun, Mingxuan; Yang, Ruigang; Yun, Lin et al.
Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005. 2005. p. 1117-1123 1544846 (Proceedings of the IEEE International Conference on Computer Vision; Vol. II).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sun, Mingxuan

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AB - We present a system to restore the 2D content printed on distorted documents. Our system works by acquiring a 3D scan of the document's surface together with a high-resolution image. Using the 3D surface information and the 2D image, we can ameliorate unwanted surface distortion and effects from non-uniform illumination. Our system can process arbitrary geometric distortions, not requiring any pre-assumed parametric models for the document's geometry. The illumination correction uses the 3D shape to distinguish content edges from illumination edges to recover the 2D content's reflectance image while making no assumptions about light sources and their positions. Results are shown for real objects, demonstrating a complete framework capable of restoring geometric and photometric artifacts on distorted documents.

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Geometric and photometric restoration of distorted documents

Abstract

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ASJC Scopus subject areas

Access to Document

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