This paper introduces a “weighted” matching algorithm to estimate a robot’s planar displacement by matching twodimensional range scans. The influence of each scan point on ...
Samuel T. Pfister, Kristopher L. Kriechbaum, Sterg...
We develop a novel method for class-based feature matching across large changes in viewing conditions. The method (called MBE) is based on the property that when objects share a si...
? Robust feature matching across different views of the same scene taken by two cameras with wide baseline and arbitrary rotation is still an open problem. Matching based on appear...
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...