Structure-awared Calligraphy Art

Abstract

We propose a novel method to generate calligraphy art from a single input image by replacing the partial curves of the image with the best matched shape of characters The salient structure of the image is preserved and the contour is reconstructed with characters Most previous word arts focus on the word filling process inside a specific contour In contrast to word cloud our work focuses on the replacement process to find best matching character to the structure of the input image In our framework we first segment the input image into regions and convert a character into a single curve Second We analyze the structure of the region contour and the curve of character for finding the relationship between the structure of the character and the salient contour in the image We proposed a modified partial curve matching to generate a stylized word art composite with character A series of comparative results are generated to demonstrate the flexibility of the constraint metrics and the results of the proposed system are visually compelling

Date of Award	2016 Feb 16
Original language	English
Supervisor	Tong-Yee Lee (Supervisor)