A concise parametrisation of affine transformation
Shizuo Kaji, Hiroyuki Ochiai

TL;DR
This paper introduces a new parametrisation of affine transformations that improves upon existing methods, enhancing performance in applications like shape analysis and animation, with a practical C++ implementation provided.
Contribution
It proposes a novel affine transformation parametrisation that generalizes and improves existing methods, offering better performance and additional options.
Findings
Shows improved performance in shape and motion applications
Provides a flexible and general affine parametrisation
Includes a ready-to-use C++ implementation
Abstract
Good parametrisations of affine transformations are essential to interpolation, deformation, and analysis of shape, motion, and animation. It has been one of the central research topics in computer graphics. However, there is no single perfect method and each one has both advantages and disadvantages. In this paper, we propose a novel parametrisation of affine transformations, which is a generalisation to or an improvement of existing methods. Our method adds yet another choice to the existing toolbox and shows better performance in some applications. A C++ implementation is available to make our framework ready to use in various applications.
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Taxonomy
TopicsMathematics and Applications · Algebraic and Geometric Analysis · Matrix Theory and Algorithms
