Computer Science Technical Report Coregistering 3D Models, Range, and Optical Imagery Using Least-Median Squares Fitting
نویسندگان
چکیده
When using methods for recovering the least squares optimal pose registration parameters between a model and an image suite construc tion of the feature correspondences is key In clusion of outliers in the correspondence set can severly deteriorate the performace and delity of these pose coregistration estimation algo rithms We consider the use of median lter ing in the construction of consistent correspon dences Finally we test our coregistration with a median ltering system on real ATR data
منابع مشابه
Shape Recovery of Mail Pieces Using Deformable Models
A system for classification of mail pieces using range images is proposed. Position, orientation, size and shape parameters of volumetric models of single mail pieces are recovered using least squares minimization of a fitting function. The models are superquadrics with global deformations. The recovered parameters serve for classification. Comments University of Pennsylvania Department of Comp...
متن کاملDetermination of 137Ba Isotope Abundances in Water Samples by Inductively Coupled Plasma-optical Emission Spectrometry Combined with Least-squares Support Vector Machine Regression
A simple and rapid method for the determination of 137Ba isotope abundances in water samples by inductively coupled plasma-optical emission spectrometry (ICP-OES) coupled with least-squares support vector machine regression (LS-SVM) is reported. By evaluation of emission lines of barium, it was found that the emission line at 493.408 nm provides the best results for the determination...
متن کاملExtraction of Geometrical Features in 3D Environments for Service Robotic Applications
Modeling environments with 3D feature based representations is a challenging issue in current mobile robotics. Fast and robust algorithms are required for applicability to navigation. We present an original and effective segmentation method that uses computer vision techniques and the residuals from plane fitting as measurements to generate a range image from 3D data acquired by a laser scanner...
متن کاملA Hybrid Approach to the Recovery of Deformable Superquadric Models from 3D Data
The problem of recovering the shape of objects from three-dimensional data is important to many areas of computer graphics and vision. We present here a method for the recovery of single-part objects from unstructured 3D points sets, based on the fitting of deformable superquadric models. The limitations of least-squares minimisation as a technique for fitting superquadric models are discussed....
متن کاملAutomated 3d City Modelling and the Importance of Quality Assurance Techniques
Building reconstruction is essential in applications such as urban planning, telecommunication network planning, flight simulation and vehicle navigation which are of increasing importance in urban areas. This paper introduces a new method for automated building reconstruction by fusing airborne optical data with LiDAR point clouds. The data consists of aerial digital imagery acquired with the ...
متن کامل