论文标题
部分可观测时空混沌系统的无模型预测
A Survey of Non-Rigid 3D Registration
论文作者
论文摘要
非刚性注册以非刚性方式计算具有目标表面的源表面之间的对齐。在过去的十年中，随着3D传感技术的进步可以测量时间变化的表面，已将非刚性注册用于获取可变形形状，并具有广泛的应用。这项调查对3D形状的非刚性注册方法进行了全面综述，重点是与动态形状获取和重建有关的技术。特别是，我们回顾了表示变形场的不同方法，以及计算所需变形的方法。涵盖了基于优化的方法和基于学习的方法。我们还回顾了用于评估非刚性注册方法的基准和数据集，并讨论潜在的未来研究方向。
Non-rigid registration computes an alignment between a source surface with a target surface in a non-rigid manner. In the past decade, with the advances in 3D sensing technologies that can measure time-varying surfaces, non-rigid registration has been applied for the acquisition of deformable shapes and has a wide range of applications. This survey presents a comprehensive review of non-rigid registration methods for 3D shapes, focusing on techniques related to dynamic shape acquisition and reconstruction. In particular, we review different approaches for representing the deformation field, and the methods for computing the desired deformation. Both optimization-based and learning-based methods are covered. We also review benchmarks and datasets for evaluating non-rigid registration methods, and discuss potential future research directions.
