![]() Litwinowicz P, Williams L (1994) Animating images with drawings, in Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques: ACM Press/Addison-Wesley Publishing Co., pp. Kwatra V, Schödl A, Essa I, Turk G, Bobick A (2003) Graphcut textures: image and video synthesis using graph cuts. Igarashi T, Moscovich T, Hughes JF (2005) As-rigid-as-possible shape manipulation. ![]() Hornung A, Dekkers E, Kobbelt L (2007) Character animation from 2D pictures and 3D motion data. He K, Rhemann C, Rother C, Tang X, Sun J (2011) A global sampling method for alpha matting, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. Gonzalex RC, Woods RE (2006) Digital image processing (3ed ed.). 341–346įarnebäck G (2003) Two-frame motion estimation based on polynomial expansion, in Scandinavian Conference on Image Analysis: Springer, Berlin, Heidelberg, pp. ACM Trans Graph 24(3):853–860Įfros AA, Freeman WT (2001) Image quilting for texture synthesis and transfer, in Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques: ACM, pp. 263–270Ĭhuang YY, Goldman DB, Zheng KC, Curless B, Salesin DH, Szeliski R (2005) Animating pictures with stochastic motion textures. ACM Trans Graph 2(4):217–236Ĭabral B, Leedom LC (1993) Imaging vector fields using line integral convolution, in Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques, pp. ACM Trans Graph 23(3):360–363īurt PJ, Adelson EH (1983) A multiresolution spline with application to image mosaics. ACM Trans Graph 21(3):777–784īhat KS, Seitz SM, Hodgins JK, Khosla PK (2004) Flow-based video synthesis and editing. Computer Graphics Forum 32(4):17–25īarrett WA, Cheney AS (2002) Object-based image editing. The limitations and potential impact of this research are also discussed in our experimental results.īai J, Agarwala A, Agrawala M, Ramamoorthi R (2013) Automatic cinemagraph portraits. ![]() Experiments generated 8 animation results that prove the feasibility of the proposed method. Finally, flow similarity and a synthesis process are applied to form the animation. Then, flow analysis is performed on the target image and source video. It uses a segmentation process to separate the necessary foreground and the unnecessary background. The proposed method integrates optical flow, line integral convolution, color transfer, graph-cut, and multi-resolution splining techniques to mimic a real waterfall on a single image. Such work poses challenges in many areas, including color consistency, texture consistency, flow velocity, block matching, and block effects. To the best of our knowledge, this is the first attempt by researchers to create a waterfall animation on a still waterfall image. In this paper, we present a system for adding a waterfall animation to a single image by extracting a flow animation from a video sequence. A static image always becomes more eye-catching with an animation.
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