Kinect变形:增强非刚性变形物体的3D重建

Hassan Afzal, Kassem Al Ismaeil, Djamila Aouada, F. Destelle, B. Mirbach, B. Ottersten
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引用次数: 9

摘要

在这项工作中,我们提出了KinectDeform,这是一种针对包含非刚性变形对象的场景增强3D重建的算法。它为现有的算法提供了一种创新,这些算法要么只针对具有刚性对象的场景,要么允许非常有限的非刚性变形,要么使用预先计算的模板来跟踪它们。KinectDeform结合了基于八叉树数据表示和分层体素关联的快速非刚性场景跟踪算法以及递归数据过滤机制。我们分析了它在真实和模拟数据上的性能,并显示了在平滑和特征保留方面的改进结果,并且降低了噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kinect Deform: Enhanced 3D Reconstruction of Non-rigidly Deforming Objects
In this work we propose KinectDeform, an algorithm which targets enhanced 3D reconstruction of scenes containing non-rigidly deforming objects. It provides an innovation to the existing class of algorithms which either target scenes with rigid objects only or allow for very limited non-rigid deformations or use precomputed templates to track them. KinectDeform combines a fast non-rigid scene tracking algorithm based on octree data representation and hierarchical voxel associations with a recursive data filtering mechanism. We analyze its performance on both real and simulated data and show improved results in terms of smoothness and feature preserving 3D reconstructions with reduced noise.
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