This paper addresses the problem of estimating the epipolar geometry from point correspondences between two images taken by uncalibrated perspective cameras. It is shown that Jepson's and Heeger's linear subspace technique for infinitesimal motion estimation can be generalized to the finite motion case by choosing an appropriate basis for projective space. This yields a linear method for weak calibration. The proposed algorithm has been implemented and tested on both real and synthetic images, and it is compared to other linear and non-linear approaches to weak calibration
A printed and bound version is available at a special discount price of US35 from Now Publishers. Th...
We will in this paper present methods and algorithms for estimating two-view geometry based on an or...
Abstract. Recovery of epipolar geometry is a fundamental problem in computer vision. The introductio...
In this paper we consider the epipolar geometry between orthographic and perspective cameras. We gen...
This paper addresses the recovery of structure and motion from two uncalibrated images of a scene un...
AbstractThis paper proposes a robust approach to image matching by exploiting the only available geo...
Abstract. We present a method for recovering the epipolar geometry from im-ages of smooth surfaces. ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
A novel algorithm for robust RANSAC-like estimation of epipolar geometry (of uncalibrated camera pai...
In this paper we propose a new approach to the cam-era self-calibration problem, based on geometric ...
This paper describes the adaptation the Bookstein method for fitting conics to determination of epip...
We generalize the method of simultaneous linear estimation of multiple view geometry and lens distor...
When deploying a heterogeneous camera network or when we use cheap zoom cameras like in cell-phones,...
We introduce a novel outlook on the self-calibration task, by considering images taken by a camera i...
Abstract—This paper introduces a novel antipodal-epipolar constraint on relative camera motion. By u...
A printed and bound version is available at a special discount price of US35 from Now Publishers. Th...
We will in this paper present methods and algorithms for estimating two-view geometry based on an or...
Abstract. Recovery of epipolar geometry is a fundamental problem in computer vision. The introductio...
In this paper we consider the epipolar geometry between orthographic and perspective cameras. We gen...
This paper addresses the recovery of structure and motion from two uncalibrated images of a scene un...
AbstractThis paper proposes a robust approach to image matching by exploiting the only available geo...
Abstract. We present a method for recovering the epipolar geometry from im-ages of smooth surfaces. ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
A novel algorithm for robust RANSAC-like estimation of epipolar geometry (of uncalibrated camera pai...
In this paper we propose a new approach to the cam-era self-calibration problem, based on geometric ...
This paper describes the adaptation the Bookstein method for fitting conics to determination of epip...
We generalize the method of simultaneous linear estimation of multiple view geometry and lens distor...
When deploying a heterogeneous camera network or when we use cheap zoom cameras like in cell-phones,...
We introduce a novel outlook on the self-calibration task, by considering images taken by a camera i...
Abstract—This paper introduces a novel antipodal-epipolar constraint on relative camera motion. By u...
A printed and bound version is available at a special discount price of US35 from Now Publishers. Th...
We will in this paper present methods and algorithms for estimating two-view geometry based on an or...
Abstract. Recovery of epipolar geometry is a fundamental problem in computer vision. The introductio...