Sökning: AMNE:(NATURAL SCIENCES) AMNE:(Computer and Information Sciences) AMNE:(Computer Vision and Robotics)
> (1995-1999) >
Direct estimation o...
Abstract
Ämnesord
Stäng
- This article deals with the problem of estimating deformations of brightness patterns using visual front-end operations. Estimating such deformations constitutes an important subtask in several computer vision problems relating to image correspondence and shape estimation. The following subjects are treated: The problem of decomposing affine flow fields into simpler components is analysed in detail. A canonical parametrization is presented based on singular value decomposition, which naturally separates the rotationally invariant components of the flow field from the rotationally variant ones. A novel mechanism is presented for automatic selection of scale levels when estimating local affine deformations. This mechanism is expressed within a multi-scale framework where disparity estimates are computed in a hierarchical coarse-to-fine manner and corrected using iterative techniques. Then, deformation estimates are selected from the scales that minimize a certain normalized residual over scales. Finally, the descriptors so obtained serve as initial data for computing refined estimates of the local deformations.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- affine transformation
- scale selection
- image correspondence
- optic flow
- shape estimation
- stereo
- motion
- texture
- disparity
- vergence
- invariance
- deformation
- decomposition
- singular value
- second moment matrix
- surface model
- enforced consistency
- visual front-end
- scale-space
- computer vision
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)