True Multi-Image Alignment and its Application to Mosaicing and Lens Distortion Correction

Mosaicing a Large Number of Widely Dispersed, Noisy, and Distorted Images: A Bayesian Approach

In this paper we extend existing mosaicing algorithms to deal with image sequences that are captured over a wide spatial area, exhibit large geometric and photometric distortions, and contain significant additive noise and other contaminations, such as light reflections. The paper focuses on three main contributions. (1) We extend the camera model used for mosaicing to deal, not only with geome...

Feature-Based Lens Distortion Correction for Image Mosaicing

We propose a method of correcting lens distortion for image mosaicing. Conventional calibration methods are tedious to use since they require special calibration patterns. While a few methods that do not use a calibration pattern have been proposed, these methods are slow t o compute because they are based on a non-linear minimi~at~ion framework. Our method does not require any special calibrat...

Image Registration and Mosaicing using a Self-Calibrating Camera

We introduce a new approach for the solution of three interrelated problems: Image registration, mosaicing and camera calibration. First we use well known similarity measures with particular interest in enhancing the performance for image registration. After initial registration we use a camera model to reene the alignment updating estimated camera parameters. A relaxation method applied on thi...

A Novel Method for Measuring, Regardless of Image Distortion and Lens Varying Specifications in Endoscopic Treatment of Vesicoureteral Reflux

Implementation of an Automatic Image Registration Tool

This paper outlines the basic steps in the design and implementation of an intensity based automated Transmission Electron Microscopy (TEM) image mosaicing application, and highlights some of the implementation details, such as the tile matching, mosaic layout, and tile distortion correction.