Point cloud registration (PCR) is an important task in photogrammetry and remote sensing,
whose goal is to seek a seven-parameter similarity transformation to register a pair of point …

Recently, graph-based methods have been widely applied to model fitting. However, in
these methods, association information is invariably lost when data points and model …

Plane detection is a key component for many applications, such as industrial reverse
engineering and self-driving cars. However, existing plane-detection techniques are …

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 …

Geometric model fitting has been widely used in many computer vision tasks. However, it
remains as a challenging task when handing multiple-structural data contaminated by …

Rivet detection is usually the first step for almost all surface and rivet inspection methods in
aircraft skins. With 3D laser scanners, one can rapidly obtain the precise 3D information, ie …

Robust estimation, which aims to recover the geometric transformation from outlier
contaminated observations, is essential for many remote sensing and photogrammetry …

In this paper, we propose a novel continuous latent semantic analysis fitting method, to
efficiently and effectively estimate the parameters of model instances in data, based on …

In this paper, we propose a novel hypergraph based method (called HF) to fit and segment
multi-structural data. The proposed HF formulates the geometric model fitting problem as a …

Recently, some hypergraph-based methods have been proposed to deal with the problem of
model fitting in computer vision, mainly due to the superior capability of hypergraph to …