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)
  • 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)
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
  • 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)