A new computational approach to estimate the ego-motion of a camera from sets of point correspondences taken from a monocular image sequence is presented. The underlying theory is based on a decomposition of the complete set of model parameters into suitable subsets to be optimized separately; e.g.,
Robust estimation of camera parameters from image sequence for video composition
β Scribed by Jong-Il Park; Choong Woong Lee
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 896 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0923-5965
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract This article describes a new method for object trajectory estimation that uses sequences of images taken from a monocular camera. The method integrates a Kalman filter to estimate the threeβdimensional (3D) parameters of the optical system and a lineal projective model to determine 3D p
This paper reports an approach of computing depth maps from a monocular image sequence, under the assumption that the camera motion is known. The direct depth estimation method is combined with the optical flow based method to improve estimation accuracy. The optical flow on and near moving edges ar
When experiments are conducted there is always a chance of the occurrence of large measurement errors (outliers). Common identification methods like generalized least squares, maximum likelihood etc. may not converge in these situations due to the presence of oufliers. Here we present a method for t