Performance characterization of fundamental matrix estimation under image degradation

Self-Calibration of a 1D Projective Camera and Its Application to the Self-Calibration of a 2D Projective Camera

IEEE Transactions on Pattern Analysis and Machine Intelligence

Estimating the Fundamental Matrix via Constrained Least-Squares: A Convex Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence

Measuring the Self-Consistency of Stereo Algorithms

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I

On the Estimation of the Fundamental Matrix: A Convex Approach to Constrained Least-Squares

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I

Characterizing the Performance of Multiple-Image Point-Correspondence Algorithms Using Self-Consistency

ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice

Self-calibration of a stereo rig using monocular epipolar geometries

Pattern Recognition

Performance characterization in computer vision: A guide to best practices

Computer Vision and Image Understanding

Fundamental matrix estimation: A study of error criteria

Pattern Recognition Letters

Volume estimation from uncalibrated views applied to wound measurement

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing