In this paper we propose a method for estimating the egomotion of a calibrated multi-camera system from an analysis of the luminance edges. The method works entirely in the 3D space as all edges of each one set of views are previously localized, matched and back-projected onto the object space. In fact, it searches for the rigid motion that best merges the sets of 3D contours extracted from each one of the multi-views. The method uses both straight and curved 3D contours
International audienceIn this paper, we explore the different minimal solutions for egomotion estima...
Abstract: This project pursues the development of a motion estimator allowing accurate visual estima...
The estimation of camera egomotion is an old problem in computer vision. Since the 1980s, many appro...
In this paper we propose a method for estimating the egomotion of a calibrated multi-came...
In this paper we propose a method for estimating the egomotion of a calibrated multi-camera system f...
We describe an algorithm that takes as inputs a coarse3D model of an environment, and a video sequen...
In this paper, we consider a multi-camera vision system mounted on a moving object in a static three...
We propose a novel minimal solver for recovering camera motion across two views of a calibrated ster...
Abstract — We present a procedure for egomotion estimation from visual input of a stereo pair of vid...
The motion of an imaging device relative to the environment can, theoretically, be determined from t...
The motion of an imaging device relative to the environment can, theoretically, be determined from t...
This work was partially supported by the Esprit project First and the French project Orasis within t...
Abstract—We investigate the problem of estimating the ego-motion of a multicamera rig from two posit...
We propose a method for incrementally estimating ego motion by two mounted active cameras. Our metho...
The computation of image motion for the purposes of determining egomotion is a challenging task as i...
International audienceIn this paper, we explore the different minimal solutions for egomotion estima...
Abstract: This project pursues the development of a motion estimator allowing accurate visual estima...
The estimation of camera egomotion is an old problem in computer vision. Since the 1980s, many appro...
In this paper we propose a method for estimating the egomotion of a calibrated multi-came...
In this paper we propose a method for estimating the egomotion of a calibrated multi-camera system f...
We describe an algorithm that takes as inputs a coarse3D model of an environment, and a video sequen...
In this paper, we consider a multi-camera vision system mounted on a moving object in a static three...
We propose a novel minimal solver for recovering camera motion across two views of a calibrated ster...
Abstract — We present a procedure for egomotion estimation from visual input of a stereo pair of vid...
The motion of an imaging device relative to the environment can, theoretically, be determined from t...
The motion of an imaging device relative to the environment can, theoretically, be determined from t...
This work was partially supported by the Esprit project First and the French project Orasis within t...
Abstract—We investigate the problem of estimating the ego-motion of a multicamera rig from two posit...
We propose a method for incrementally estimating ego motion by two mounted active cameras. Our metho...
The computation of image motion for the purposes of determining egomotion is a challenging task as i...
International audienceIn this paper, we explore the different minimal solutions for egomotion estima...
Abstract: This project pursues the development of a motion estimator allowing accurate visual estima...
The estimation of camera egomotion is an old problem in computer vision. Since the 1980s, many appro...