Statistical detection of independent movement from a moving camera
Least squares is perhaps the most commonly used method of parameter estimation in computer vision algorithms. However, the estimated parameters from a least squares fit can be corrupted beyond recognition in the presence of gross errors or outliers which plague any data from real imagery. Within thi...
Auteurs principaux: | Torr, PHS, Murray, DW |
---|---|
Format: | Journal article |
Langue: | English |
Publié: |
Elsevier
1993
|
Documents similaires
-
STATISTICAL DETECTION OF INDEPENDENT MOVEMENT FROM A MOVING CAMERA
par: Torr, P, et autres
Publié: (1993) -
Outlier detection and motion segmentation
par: Torr, PHS, et autres
Publié: (1993) -
Stochastic motion clustering
par: Torr, PHS, et autres
Publié: (1994) -
The development and comparison of robust methods for estimating the fundamental matrix
par: Torr, PHS, et autres
Publié: (1997) -
Improved moves for truncated convex models
par: Kumar, MP, et autres
Publié: (2009)