This paper presents a comprehensive literature review on point set registration. The state-of-
the-art modeling methods and algorithms for point set registration are discussed and …

Three-dimensional surface registration transforms multiple three-dimensional data sets into
the same coordinate system so as to align overlap** components of these sets. Recent …

When dealing with complex thermal infrared (TIR) tracking scenarios, the single category
feature is not sufficient to portray the appearance of the target, which drastically affects the …

Many problems in machine learning involve data sets in which each data point is a point
cloud in $\mathbb {R}^ D $. A growing number of applications require a means of measuring …

The task of land cover classification from hyperspectral images (HSI) has recently witnessed
sharp improvements with the applications of deep convolutional networks (CNN). This is …

A probabilistic group-wise similarity registration technique based on Student's t-mixture
model (TMM) and a multi-resolution extension of the same (mr-TMM) are proposed in this …

The automatic segmentation of the prostate and rectum from 3D computed tomography (CT)
images is still a challenging problem, and is critical for image-guided therapy applications …

In this study, an implicit reference group-wise (IRG) registration with a small deformation,
linear elastic model was used to jointly estimate correspondences between a set of MRI …

Registration is the problem of bringing together two or more 3D shapes, either of the same
object or of two different but similar objects. This chapter first introduces the classical …

This paper presents a novel, fast, group-wise registration technique based on establishing
soft correspondences between groups of point sets. The registration approach is used to …