A new video inpainting algorithm is proposed for removing unwanted or erroneous objects from video data. The
proposed algorithm fills a mask region with source blocks from unmasked areas, while keeping spatio-temporal
consistency. First, a 3-dimensional graph is constructed over consecutive frames. It defines a structure of nodes
over which the source blocks are pasted. Then, we form temporal block bundles using the motion information.
The best block bundles, which minimize an objective function, are arranged in the 3-dimensional graph. Extensive
simulation results demonstrate that the proposed algorithm can yield visually pleasing video inpainting results
even for dynamic sequences.
In this work, we propose a novel 3-D mesh editing algorithm using motion features. First, a vertex-wise motion vector is defined between the corresponding vertex pair of two sample meshes. Then, we
extract the motion feature for each vertex, which represents the similarity of neighboring vertex-wise motion vectors on a local mesh
region. When anchor vertices are moved by external force, the mesh
geometry is deformed such that the motion feature of each vertex is
preserved to the greatest extent. Extensive simulation results on
various mesh models demonstrate that the proposed mesh deformation
scheme yields visually pleasing editing results.
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