We present an approach to robust estimation of fundamental matrices from noisy data
contaminated by outliers. The problem is cast as a series of weighted homogeneous least …

Automatic 3D plane segmentation is necessary for many applications including point cloud
registration, building information model (BIM) reconstruction, simultaneous localization and …

In this paper, we propose a simple and effective geometric model fitting method to fit and
segment multi-structure data even in the presence of severe outliers. We cast the task of …

Введение. Многомерность пространства состояний рельсовых линий, близость границ
классов из-за воздействия внешних возмущений существенно усложняют задачу …

Robust model fitting is an important task for modern electronic industries. In this paper, an
efficient robust model-fitting method is proposed to estimate model hypotheses for …

Videogrammetry is an extension to close-range photogrammetry which provides a
convenient way to capture the three-dimensional (3D) dynamic response of moving objects …

Identifying the underlying models in a set of data points that is contaminated by noise and
outliers leads to a highly complex multi-model fitting problem. This problem can be posed as …

In this paper, we present an automatic multi-model fitting pipeline that can robustly fit
multiple geometric models present in the corrupted and noisy data. Our approach can …

Introduction. The multidimensionality and the proximity of class boundaries due to external
disturbances significantly complicate rail condition monitoring. Many informative signs are …

This paper approaches the problem of geometric multi-model fitting as a data segmentation
problem. The proposed solution is based on a sequence of sampling hyperedges from a …