Recovery of temporal information from static images of handwriting
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mosaicing of paintings on curved surfaces
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Hierarchical Classification of Paintings Using Face- and Brush Stroke Models
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Authentication of Free Hand Drawings by Pattern Recognition Methods
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Painting Crack Elimination Using Viscous Morphological Reconstruction
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Digital color restoration of old paintings
IEEE Transactions on Image Processing
Identification of drawing tools by classification of textural and boundary features of strokes
Pattern Recognition Letters
Texture analysis for stroke classification in infrared reflectogramms
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Computer aided analysis of underdrawings in infrared reflectograms
VAST'03 Proceedings of the 4th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
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An algorithm for the automatic segmentation of strokes in underdrawings - the basic concept of the artist - in ancient panel paintings is presented. The purpose of the stroke analysis is the determination of the drawing tool used to draft the painting. This information allows significant support for a systematic stylistic approach in the analysis of paintings. Up to now, this analysis has been made by naked eye examination only, and the restricted human optical retentiveness complicated the comparison of different underdrawings with respect to drawing tools and stroke characteristics. Stroke segmentation in painting is related to the extraction and recognition of handwritings, therefore similar techniques to segment the strokes from the background incorporating boundary information are used. Following the segmentation, the approximation of the stroke boundary by a closed polygon done based on active contours. Results of the algorithms developed are presented for both test panels and real reflectograms.