Sampling-based algorithms in the mould of RANSAC have emerged as one of the most successful methods for the fully automated registration of point clouds acquired by terrestrial laser scanning (TLS). Sampling methods in conjunction with 3D keypoint extraction, have shown promising results, e.g. the recent K-4PCS (Theiler et al., 2013). However, they still exhibit certain improbable failures, and...

The paper presents an algorithm for deformable image registration based on point features extracted from input images using the Harris corner detector. The correspondence between the points extracted from the different images is established using RANdom SAmple Consensus (RANSAC) method with the affine and perspective global transformation used to model the deformations. The initial corresponden...

This paper presents a comparative study of performance for four wavelet-based multiresolution image registration techniques. The proposed algorithms are implemented and applied to dental panoramic X-ray images and magnetic resonance (MR) images of the brain. Cross-correlation based registration, mutualinformation (MI) based hierarchical registration, scale invariant feature transform (SIFT) bas...

This paper concerns the robust estimation of non-rigid deformations from feature correspondences. We advance the surprising view that for many realistic physical deformations, the error of the mismatches (outliers) usually dwarfs the effects of the curvature of the manifold on which the correct matches (inliers) lie, to the extent that one can tightly enclose the manifold within the error bound...

Automatic registration methods for histological images in virtual microscopy are presented. Point-based approaches with outlier filtering by RANSAC and multibody factorization are investigated. The algorithms are tested on high-resolution biopsy images of the gastrointestinal tract. Quantitative evaluation is performed at different resolution levels. The results reveal the superiority of Harris...

ÐIn this paper, we propose a new method, the RANSAC-based DARCES method, which can solve the partially overlapping 3D registration problem without any initial estimation. For the noiseless case, the basic algorithm of our method can guarantee that the solution it finds is the true one, and its time complexity can be shown to be relatively low. An extra characteristic is that our method can be u...

Automatic registration methods for histological images are presented. Point based approaches with outlier filtering by RANSAC and image factorisation are investigated. The algorithms are tested on high-resolution biopsy images of the gastrointestinal tract. Quantitative evaluation is performed at different resolution levels. The results reveal the superiority of Harris feature points over SIFT ...

This article deals with the problem of recognition of semi-structured documents image. The aim is to detect a document and to extract the region of interest containing it. Initially, an exemple of document is given by the user and a set of interest points are extracted from this query image. In a second step, a set of interest points is extracted from each image to analyse and is matched with t...