Hongyan Quan

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Customizing a desired naturalistic fluid simulation result from video to obtain similar artistic effect is significant in practice. But art-directed customizing is challengeable due to the chaotic nature of the physics contained in it, and this still remains to be a difficult task in spite of rapid advancements of computer graphics during the last two(More)
Dynamic texture is a part of the natural scene. Dynamic texture segmentation issue is research hotspot in the field of computer vision and even robot research area. This paper presents a new dynamic texture recognition method based on level set strategy. The level set function evolutes to the boundary of objects according the optical flow feature of moving(More)
This paper presents a patch-based method of reconstructing a large-scale fluid surface in which new image is synthesized by stitching small patches of existing texture together. This patch-based sampling is fast and can generate high-quality synthesized texture. Unlike previous algorithms, we creatively apply Poisson equations into synthesis process to(More)
  • Hongyan Quan
  • The 2nd International Conference on Information…
  • 2010
Dynamic texture is a part of the natural scene. Video augmentation is research hotspot in the field of computer vision and even robot research area. Robust camera tracking plays a key role in augmented video. It is an important issue in dynamic texture video augmentation. We propose an efficient and robust approach to structure and motion recovery for(More)
  • Hongyan Quan
  • 2009 International Conference on Computational…
  • 2009
Dynamic texture is a part of the natural scene. Currently dynamic texture segmentation issue is research hotspot in the field of computer vision and even robot research area. This paper presents a efficient dynamic texture segmentation method based on level set strategy. We define the evolution energy function according the characteristics of intensity(More)