Proceedings Article10.1109/CVPR.2007.383251
Multi-View Document Rectification using Boundary
Yau-Chat Tsoi,Michael S. Brown +1 more
- 17 Jun 2007
- pp 1-8
63
TL;DR: This work presents a novel technique that uses multiple images of bound and folded documents to rectify the imaged content such that it appears flat and photometrically uniform and proposes a new technique to estimate illumination variation in the individual images allowing the final composited content to be photometricrically rectified.
read more
Abstract: We present a novel technique that uses multiple images of bound and folded documents to rectify the imaged content such that it appears flat and photometrically uniform. Our approach works from a sparse set of uncalibrated views of the document which are mapped to a canonical coordinate frame using the document's boundary. A composite image is constructed from these canonical views that significantly reduces the effects of depth distortion without the blurring artifacts that is problematic in single image approaches. In addition, we propose a new technique to estimate illumination variation in the individual images allowing the final composited content to be photometrically rectified. Our approach is straight-forward, robust, and produces good results.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
DocUNet: Document Image Unwarping via a Stacked U-Net
Ke Ma,Zhixin Shu,Xue Bai,Jue Wang,Dimitris Samaras +4 more
- 18 Jun 2018
TL;DR: This paper proposes a stacked U-Net with intermediate supervision to directly predict the forward mapping from a distorted image to its rectified version, and creates a synthetic dataset with approximately 100 thousand images by warping non-distorted document images.
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks
Sagnik Das,Ke Ma,Zhixin Shu,Dimitris Samaras,Roy Shilkrot +4 more
- 01 Oct 2019
TL;DR: This work proposes DewarpNet, a deep-learning approach for document image unwarping from a single image, based on the explicit modeling of 3D shape for document paper in an end-to-end pipeline, and contributes the largest and most comprehensive dataset to date - Doc3D.
Composition of a Dewarped and Enhanced Document Image From Two View Images
TL;DR: An algorithm to compose a geometrically dewarped and visually enhanced image from two document images taken by a digital camera at different angles is proposed and robustly works and yields visually pleasing results.
76
Multiview Rectification of Folded Documents
TL;DR: In this paper, a ridge-aware 3D reconstruction of a paper sheet is used to reconstruct the reconstructed surface using properties of developable surfaces via $\ell _1$ conformal mapping.
73
Active Flattening of Curved Document Images via Two Structured Beams
Gaofeng Meng,Ying Wang,Shenquan Qu,Shiming Xiang,Chunhong Pan +4 more
- 23 Jun 2014
TL;DR: This paper proposes an active method to correct geometric distortions in a camera-captured document image that can restore a corrected document image of high accuracy with undistorted contents.
References
•Book
Numerical Recipes in C: The Art of Scientific Computing
William H. Press,Brian P. Flannery,Saul A. Teukolsky,William T. Vetterling +3 more
- 31 Jan 1986
TL;DR: Numerical Recipes: The Art of Scientific Computing as discussed by the authors is a complete text and reference book on scientific computing with over 100 new routines (now well over 300 in all), plus upgraded versions of many of the original routines, with many new topics presented at the same accessible level.
20.5K