Add to ORKGInternational audienceThis paper proposes a novel approach of line matching across images captured by different types of cameras, from perspective to omnidirectional ones. Based on the spherical mapping, this method utilizes spherical SIFT point features to boost line matching and searches line correspondences using an affine invariant measure of similarity. It permits to unify the commonest cameras and to process heterogeneous images with the least distortion of visual information
Ce mémoire de thèse traite de la mise en correspondance d'images pour des applications de vision sté...
Abstract. Line matching for image pairs under various transformations is a challenging task. In this...
This paper proposed a method to detect object/scene through Scale Invariant Feature Transform (SIFT)...
International audienceThis paper proposes a novel approach of line matching across images captured b...
A SIFT algorithm in spherical coordinates for omnidirectional images is proposed. This algorithm can...
Numerous scale-invariant feature matching algorithms using scale-space analysis have been proposed f...
This paper presents a new method for matching individ-ual line segments between images. The method u...
We propose a method to compute scale invariant features in omnidirectional images. We present a form...
Omnidirectional images generally have nonlinear distortion in radial direction. Unfortunately, tradi...
AbstractThispaperproposed a methodtodetectobject/scenethroughScaleInvariantFeatureTransform(SIFT) ke...
Much attention is paid to registration of terrestrial point clouds nowadays. Research is carried out...
The lines in 2D images are underlying metadata of many applications in the photogrammetry and visual...
Much attention is paid to registration of terrestrial point clouds nowadays. Research is carried out...
Article dans revue scientifique avec comité de lecture.Image matching consists of finding features i...
Many unfavorable factors may hinder the line matching, such as fracture, deformation or occlusion oc...
Ce mémoire de thèse traite de la mise en correspondance d'images pour des applications de vision sté...
Abstract. Line matching for image pairs under various transformations is a challenging task. In this...
This paper proposed a method to detect object/scene through Scale Invariant Feature Transform (SIFT)...
International audienceThis paper proposes a novel approach of line matching across images captured b...
A SIFT algorithm in spherical coordinates for omnidirectional images is proposed. This algorithm can...
Numerous scale-invariant feature matching algorithms using scale-space analysis have been proposed f...
This paper presents a new method for matching individ-ual line segments between images. The method u...
We propose a method to compute scale invariant features in omnidirectional images. We present a form...
Omnidirectional images generally have nonlinear distortion in radial direction. Unfortunately, tradi...
AbstractThispaperproposed a methodtodetectobject/scenethroughScaleInvariantFeatureTransform(SIFT) ke...
Much attention is paid to registration of terrestrial point clouds nowadays. Research is carried out...
The lines in 2D images are underlying metadata of many applications in the photogrammetry and visual...
Much attention is paid to registration of terrestrial point clouds nowadays. Research is carried out...
Article dans revue scientifique avec comité de lecture.Image matching consists of finding features i...
Many unfavorable factors may hinder the line matching, such as fracture, deformation or occlusion oc...
Ce mémoire de thèse traite de la mise en correspondance d'images pour des applications de vision sté...
Abstract. Line matching for image pairs under various transformations is a challenging task. In this...
This paper proposed a method to detect object/scene through Scale Invariant Feature Transform (SIFT)...