We present a linear predictive compression approach for timeconsistent 3D mesh sequences supporting and exploiting scalability. The algorithm decomposes each frame of a mesh sequence in layers employing patch-based mesh simplification techniques. This layered decomposition is consistent in time. Following the predictive coding paradigm, local temporal and spatial dependencies between layers and frames are exploited for compression. Prediction is performed vertex-wise from coarse to fine layers exploiting the motion of already encoded 1-ring neighbor vertices for prediction of the current vertex location. It is shown that a predictive exploitation of the proposed layered configuration of vertices can improve the compression performance upon other state-of-the-art approaches by up to 16% in domains relevant for applications.
We present a layered predictive compression approach for timeconsistent dynamic 3D meshes. The algorithm decomposes each frame of a dynamic 3D mesh in layers employing patch-based mesh simplification techniques. This layered decomposition is consistent in time. Following the predictive coding paradigm, local temporal and spatial dependencies between layers and frames are exploited for compression. Prediction is performed vertex-wise from coarse to fine layers exploiting local linear and non-linear dependencies between vertex locations for compression. It is shown that a non-linear predictive exploitation of the proposed layered configuration of vertices can improve the compression performance upon other state-ofthe-art approaches by more than 15% in domains relevant for applications.
In this paper we propose a novel method to create dynamic mesh sequences with fixed connectivity from multiple camera video streams. Fixed connectivity is useful for dynamic mesh coding as mesh connectivity has to be transmitted only once and not frame-wise. The proposed method runs automatically. It deploys mesh parametrizations and voronoi diagrams from the computer graphics realm as well as 2D optical and 3D scene flow from computer vision. Assuming a given dynamic mesh sequence not necessarily having constant connectivity, motion estimation is performed by applying a 3D motion field to a static reconstruction in one frame. Afterwards, mesh connectivity is transferred patch-wise from one frame to the next one using remeshing techniques. The entire method is independent of static mesh resolution, hence supplying a basis for dynamic mesh coding and simplification.Index Terms-3d motion analysis and tracking, surface modeling for 3-D scenes, multi-view image and 3D data processing, 3D mesh representation, 3D motion animation
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