Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Aided Geometric Design
ACM SIGGRAPH 2003 Papers
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Mean value coordinates for closed triangular meshes
ACM SIGGRAPH 2005 Papers
Unsupervised color-texture segmentation based on soft criterion with adaptive mean-shift clustering
Pattern Recognition Letters
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A Closed-Form Solution to Natural Image Matting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video collage: presenting a video sequence using a single image
The Visual Computer: International Journal of Computer Graphics
Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting
International Journal of Computer Vision
Coordinates for instant image cloning
ACM SIGGRAPH 2009 papers
Sketch2Photo: internet image montage
ACM SIGGRAPH Asia 2009 papers
Computer Aided Geometric Design - Special issue: Geometric modelling and differential geometry
A duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
Content-aware copying and pasting in images
The Visual Computer: International Journal of Computer Graphics
Seamless video composition using optimized mean-value cloning
The Visual Computer: International Journal of Computer Graphics
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In this paper, we propose a new video composition method by 3D mean-value coordinate (MVC). 2D MVCs have been widely used in image composition; however, when 2D MVC is applied to a video sequence directly, because of over-blending and the lack of temporal consistency, some unnatural effects may appear in the final composite results. Although 3D Poisson editing can maintain spatial and temporal consistency, it also leads to high algorithm complexity. Instead of 3D Poisson editing, we use the 3D MVC to seamlessly blend a given source video patch into a target video sequence; this approach is able to achieve high-performance blending with less computation. We show that the combination of alpha matte-based approaches and our method can further refine the produced video when the boundaries of the source object and the target object are very different. Our algorithm can be paralleled and run on a graphics processing unit. The experimental results show that our method is effective and efficient. Copyright © 2012 John Wiley & Sons, Ltd.