Directional Texture Transfer With Edge Enhancement
Hochang Lee, Sanghyun Seo, Kyunghyun Yoon.
Computers & Graphics, Vol. 35, No. 1, pp. 81--91,
2011. [BibTeX]
GPU-based SoftAssign for Maximizing Image Utilization in Photomosaics
Marcos Slomp, Michihiro Mikamo, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda.
International Journal of Networking and Computing, Vol. 1, No. 2, pp. 211--229, July,
2011. [BibTeX]
Image and Video Abstraction by Coherence-Enhancing Filtering
Author(s): Jan Eric Kyprianidis, Henry Kang.
Article: Computer Graphics Forum, Vol. 30, No. 2, pp. 593--602,
2011.
[BibTeX] [DOI] 
Abstract:
In this work, we present a non-photorealistic rendering technique to create stylized abstractions from color images and videos. Our approach is based on adaptive line integral convolution in combination with directional shock filtering. The smoothing process regularizes directional image features while the shock filter provides a sharpening effect. Both operations are guided by a flow field derived from the structure tensor. To obtain a high-quality flow field, we present a novel smoothing scheme for the structure tensor based on Poisson's equation. Our approach effectively regularizes anisotropic image regions while preserving the overall image structure and achieving a consistent level of abstraction. Moreover, it is suitable for per-frame filtering of video and can be efficiently implemented to process content in real-time.
Real-Time Shape Illustration Using Laplacian Lines
Long Zhang, Ying He, Jiazhi Xia, Xuexiang Xie, Wei Chen.
IEEE Transactions on Visualization and Computer Graphics, Vol. 17, No. 7, pp. 993--1006, july,
2011. [BibTeX]