A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scanning a Document with a Small Camera Attached to a Mouse
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A fast and robust image registration method based on an early consensus paradigm
Pattern Recognition Letters
Camera-Based Document Image Mosaicing
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Video Mosaicing for Curved Documents Based on Structure from Motion
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Geometric Rectification of Camera-Captured Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
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In this paper, we present a method for composing document mosaics from camera-captured images. We decompose the complexity of solving the 8-dof transformation between image pairs into two problems, that is, rectification and registration. This is achievable under a key assumption that sufficient text content forms orthogonal texture flows on the document surface. First, perspective distortion and rotation are removed from images using the texture flow information. Next, the translation and scaling are resolved by a Hough transform-like voting method. In the image composition part, our contribution is a sharpness based selection process which composes a seamless and blur free mosaic for text content. Experiments show that our approach can produce an accurate, sharp, and high resolution mosaic of a full document page from small image patches captured by a camera with various zooms and poses.