Fundamental matrix versus essential matrix
WHAT IT TESTS: epipolar algebra. OUTLINE: both relate corresponding points across two views via the epipolar constraint; the fundamental matrix works in pixel coordinates, the essential matrix in calibrated coordinates and encodes relative pose.
WHAT IT TESTS: the distinction between calibrated and uncalibrated two-view geometry. ANSWER OUTLINE: both matrices encode the epipolar constraint linking matched points in two images. The fundamental matrix operates on raw pixel coordinates and needs only point correspondences to estimate. The essential matrix operates on normalized coordinates, so it requires the camera intrinsics, and it directly encodes the relative rotation and translation between the views. They relate via the intrinsic matrices.
Read the original → interview
- #fundamental-matrix
- #essential-matrix
- #epipolar-geometry
- #camera-calibration
- #pose-estimation
Get five bites like this every day.
Tezvyn delivers a daily feed of 60-second tech bites with quizzes to lock in what you learn.