We describe a new method for motion estimation and 3D reconstruction from stereo image sequences obtained by a stereo rig moving through a rigid world. We show that given two stereo pairs one can compute the motion of the stereo rig directly from the image derivatives (spatial and temporal). Correspondences are not required. One can then use the images from both pairs combined to compute a dense depth map. The motion estimates between stereo pairs enable us to combine depth maps from all the pairs in the sequence to form an extended scene reconstruction and we show results from a real image sequence. The motion computation is a linear least squares computation using all the pixels in the image. Areas with little or no contrast are implicitl...
Motion Tracking and Stereo Vision are complicated, albeit well-understood problems in computer visio...
We introduce a unified framework for scene structure and motion estimation on road-driving stereo se...
In this paper, we propose a method of filtering depth maps that are automatically generated from vid...
We investigate the relationship between the kinematics (infinitesimal motion model) of a calibrated ...
The extraction of reliable range data from images is investigated, considering, as a possible soluti...
This paper presents a new approach to computing dense depth and motion estimates from multiple image...
A new method for 3D rigid motion estimation from stereo is proposed in this paper. The appealing fea...
We describe a new direct method for estimating structure and motion from image intensities of mult...
[[abstract]]Presents a modified disparity measurement to recover depth and a robust method to estima...
Dense three-dimensional reconstruction of a scene from images is a challenging task. Usually, it is ...
International audienceIn this paper we consider the problem of estimating a 3D motion field using mu...
We present a new algorithm for estimation of rigid body motion parameters and scene structure from m...
Representation of 3D video using reference image and depth map sequences (2D+depth) has become stand...
In the context of real-time collision / obstacle avoidance this paper investigates a direct method o...
A method for estimating the depth information of a general monocular image sequence and then creatin...
Motion Tracking and Stereo Vision are complicated, albeit well-understood problems in computer visio...
We introduce a unified framework for scene structure and motion estimation on road-driving stereo se...
In this paper, we propose a method of filtering depth maps that are automatically generated from vid...
We investigate the relationship between the kinematics (infinitesimal motion model) of a calibrated ...
The extraction of reliable range data from images is investigated, considering, as a possible soluti...
This paper presents a new approach to computing dense depth and motion estimates from multiple image...
A new method for 3D rigid motion estimation from stereo is proposed in this paper. The appealing fea...
We describe a new direct method for estimating structure and motion from image intensities of mult...
[[abstract]]Presents a modified disparity measurement to recover depth and a robust method to estima...
Dense three-dimensional reconstruction of a scene from images is a challenging task. Usually, it is ...
International audienceIn this paper we consider the problem of estimating a 3D motion field using mu...
We present a new algorithm for estimation of rigid body motion parameters and scene structure from m...
Representation of 3D video using reference image and depth map sequences (2D+depth) has become stand...
In the context of real-time collision / obstacle avoidance this paper investigates a direct method o...
A method for estimating the depth information of a general monocular image sequence and then creatin...
Motion Tracking and Stereo Vision are complicated, albeit well-understood problems in computer visio...
We introduce a unified framework for scene structure and motion estimation on road-driving stereo se...
In this paper, we propose a method of filtering depth maps that are automatically generated from vid...