This paper describes a new enhancement to the technique of estimation by Random Sampling and Consensus. The current state-of-the-art random sampling schemes are discussed, in particular looking at the speed of discovery of the solution. An improved support function is examined, using linear approximations to the second moments of the parameter PDFs to more accurately propagate noise. This impro...

This paper presents a Fast Fourier Transform (FFT) accelerated approach designed to handle many of the difficulties associated with the registration of optical and LIDAR images. The proposed algorithm utilizes an exhaustive region correspondence search technique to determine the correspondence between regions of interest from the optical image with the LIDAR image over all translations for vari...

Sebastian Zambanini, Georg Langs, Robert Sablatnig, Harald Maier 1Pattern Recognition and Image Processing Group, Vienna University of Technology, Austria 2Institute for Computer Graphics and Vision, Graz University of Technology, Austria 3Division of Special and Environmental Dermatology, Medical University of Vienna, Austria {zamba, langs, sab}@prip.tuwien.ac.at, [email protected]...

In the context of registration between videos and geographic information system (GIS)-based 3D building models—for instance in augmented reality applications—we propose a solution to one of the most critical problems, namely the registration initialization. Successful automatic 2D/3D matching is achieved by combining two context-dependent improvements. On one hand, we associate semantic informa...

Abstract Based on the problems, such as difficulty of detecting and obtaining evidence patch resistance replacement welding spot anomaly in current field meter detection, a detection algorithm is proposed based machine vision. The combines K-D tree Ransac to complete high-efficiency energy registration. It detects suspected abnormal area through difference shadow method then judges situation ac...

When in a pipeline a robust global motion estimation is needed, RANSAC algorithm is the usual choice. Unfortunately, since RANSAC is an iterative method based on random analysis, it is not suitable for real-time processing. This paper presents an outlier removal algorithm, which reaches a robust estimation (at least equal to RANSAC) with really low power consumption and can be employed for embe...

Web-based Virtual Tour has attractive advantages over traditional 3D rendering approach in that it does not require labor intensive 3D modeling process or high bandwidth for realistic virtual tour yet provides virtual tour with free navigation and immersive experience of walking around through the WWW. In this paper, we focus on presenting a robust image registration technique for a web-based v...

1School of Electronics Engineering, VIT University, Vellore, India 2Assistant Professor (Selection Grade), VIT University, Vellore, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Registration, tracking and reconstruction of 3-D models in real time has many applications in the fields of po...

In the context of registration between videos and geographic information system (GIS)-based 3D building models—for instance in augmented reality applications—we propose a solution to one of the most critical problems, namely the registration initialization. Successful automatic 2D/3D matching is achieved by combining two context-dependent improvements. On one hand, we associate semantic informa...

This paper presents a multi-image registration method, which aims at recognizing and extracting multiple panoramas from an unordered set of images without user input. A method for panorama recognition introduced by Lowe and Brown [1] is based on extraction of a full set of scale invariant image features and fast matching in feature space, followed by post-processing procedures. We propose a dif...