A Invertible Dimension Reduction of Curves on a Manifold

Details A Invertible Dimension Reduction of Curves on a Manifold A Invertible Dimension Reduction of Curves on a Manifold

2011-07-29

arxiv.org/abs/1108.0007v1

Computer Science

Computer Vision and Pattern Recognition

Scientific paper

In this paper, we propose a novel lower dimensional representation of a shape sequence. The proposed dimension reduction is invertible and computationally more efficient in comparison to other related works. Theoretically, the differential geometry tools such as moving frame and parallel transportation are successfully adapted into the dimension reduction problem of high dimensional curves. Intuitively, instead of searching for a global flat subspace for curve embedding, we deployed a sequence of local flat subspaces adaptive to the geometry of both of the curve and the manifold it lies on. In practice, the experimental results of the dimension reduction and reconstruction algorithms well illustrate the advantages of the proposed theoretical innovation.

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