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Geometric and photometric restoration of distorted documents

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

Producción científica: Conference contributionrevisión exhaustiva

37 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaProceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
Páginas1117-1123
Número de páginas7
DOI
EstadoPublished - 2005
EventoProceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005 - Beijing, China
Duración: oct 17 2005oct 20 2005

Serie de la publicación

NombreProceedings of the IEEE International Conference on Computer Vision
VolumenII

Conference

ConferenceProceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
País/TerritorioChina
CiudadBeijing
Período10/17/0510/20/05

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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