Laplacian Mixture Model Point Based Registration

06/22/2020
by   Mohammad Sadegh Majdi, et al.
0

Point base registration is an important part in many machine VISIOn applications, medical diagnostics, agricultural studies etc. The goal of point set registration is to find correspondences between different data sets and estimate the appropriate transformation that can map one set to another. Here we introduce a novel method for matching of different data sets based on Laplacian distribution. We consider the alignment of two point sets as probability density estimation problem. By using maximum likelihood methods we try to fit the Laplacian mixture model (LMM) centroids (source point set) to the data point set.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

10/26/2021

Robust Multi-view Registration of Point Sets with Laplacian Mixture Model

Point set registration is an essential step in many computer vision appl...
01/16/2021

What was the river Ister in the time of Strabo? A mathematical approach

In this paper, we introduce a novel method for map registration and appl...
11/17/2017

Dependent landmark drift: robust point set registration based on the Gaussian mixture model with a statistical shape model

Point set registration is to find point-by-point correspondences between...
11/15/2021

Casting graph isomorphism as a point set registration problem using a simplex embedding and sampling

Graph isomorphism is an important problem as its worst-case time complex...
12/14/2020

Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration

Matching articulated shapes represented by voxel-sets reduces to maximal...
06/11/2020

Nonrigid registration using Gaussian processes and local likelihood estimation

Surface registration, the task of aligning several multidimensional poin...
04/20/2022

Evaluation of Robust Point Set Registration Applied to Automotive Doppler Radar

Point set registration is the process of finding the best alignment betw...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.