This paper presents an interesting observation that epipolar geometry and log–polar transform can be nat-urally combined by setting the center of the log–polar transform into the epipoles. This choice preserves the linearity of the epipolar lines. Moreover, the setting is especially advantageous, when camera moves to-wards the optical axis of the camera as the log–polar transform compensates the large scale changes in the scene. This practically implies that conventional match-ing techniques can be used with wide baseline images. We discuss the approach with both calibrated and un-calibrated cameras and show some dense wide baseline reconstruction examples where the epipoles are close to the image centers. 1
Abstract. We present a method for recovering the epipolar geometry from im-ages of smooth surfaces. ...
In this paper we are interested in the calculation of the equation governing pairs of epipolar lines...
The past decade has seen a growing interest in computer stereo vision: the recovery of the depth map...
Abstract – Robust feature matching across different views of the same scene taken by two cameras wit...
AbstractThis paper proposes a robust approach to image matching by exploiting the only available geo...
We present a new algorithm for matching calibrated stereo image pairs. Matching is achieved within a...
This video explains a general procedure for stereo, or epipolar, rectification. This procedure works...
Epipolarization is the most important constraint used in automatic dense matching for increasing spe...
International audienceEpipolar rectification of a stereo pair is the process of resampling a pair of...
<p> Aim to the problem of initial epipolar distance transformation algorithm is sensitive to illumi...
Semi-global matching is a well-known stereo matching algorithm in photogrammetric and computer visio...
Lens distortion causes difficulties for 3D reconstruction, when uncalibrated image sets with weak ge...
Epipolar resampling is the procedure of eliminating vertical disparity between stereo images. Due to...
Thewide-baseline stereo problem, i.e. the problem of establishing correspondences between a pair of ...
International audienceThe binocular stereo pipeline performs the following task: from a pair of imag...
Abstract. We present a method for recovering the epipolar geometry from im-ages of smooth surfaces. ...
In this paper we are interested in the calculation of the equation governing pairs of epipolar lines...
The past decade has seen a growing interest in computer stereo vision: the recovery of the depth map...
Abstract – Robust feature matching across different views of the same scene taken by two cameras wit...
AbstractThis paper proposes a robust approach to image matching by exploiting the only available geo...
We present a new algorithm for matching calibrated stereo image pairs. Matching is achieved within a...
This video explains a general procedure for stereo, or epipolar, rectification. This procedure works...
Epipolarization is the most important constraint used in automatic dense matching for increasing spe...
International audienceEpipolar rectification of a stereo pair is the process of resampling a pair of...
<p> Aim to the problem of initial epipolar distance transformation algorithm is sensitive to illumi...
Semi-global matching is a well-known stereo matching algorithm in photogrammetric and computer visio...
Lens distortion causes difficulties for 3D reconstruction, when uncalibrated image sets with weak ge...
Epipolar resampling is the procedure of eliminating vertical disparity between stereo images. Due to...
Thewide-baseline stereo problem, i.e. the problem of establishing correspondences between a pair of ...
International audienceThe binocular stereo pipeline performs the following task: from a pair of imag...
Abstract. We present a method for recovering the epipolar geometry from im-ages of smooth surfaces. ...
In this paper we are interested in the calculation of the equation governing pairs of epipolar lines...
The past decade has seen a growing interest in computer stereo vision: the recovery of the depth map...