Smoothing and matching of 3-d space curves

作者：André Guéziec, Nicholas Ayache

摘要

We present a new approach to the problem of matching 3-D curves. The approach has a low algorithmic complexity in the number of models, and can operate in the presence of noise and partial occlusions.

论文关键词：Covariance, Computer Vision, Kalman Filter, Synthetic Data, Seminal Work

论文评审过程：

论文官网地址：https://doi.org/10.1007/BF01420985