Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Computational Framework for Segmentation and Grouping
Computational Framework for Segmentation and Grouping
Equivalence of Julesz Ensembles and FRAME Models
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Primal sketch: Integrating structure and texture
Computer Vision and Image Understanding
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
| Hi-index | 0.00 |
This paper studies an image inpainting solution based on a primal sketch representation model [1], which divides an image into structure (sketchable) and texture (non-sketchable) components. This solution first predicts the missing structures, such as curves and corners, using a tensor voting algorithm [2]. Then the texture parts along structural sketches are synthesized with the patches sampled from the known regions, and the remaining texture parts are defused using a graph cuts algorithm [3]. Compared to the state-of-art image inpainting approaches, the characteristics of this solution include: 1) using the primal sketch representation model to guide completion for visual consistency; 2) achieving fully automatic completion. Finally, the experiments on the public datasets show above characteristics.