Multifoveamento em multirresolução com fóveas móveis
Foveation is a computer vision technique for visual information reduction obtained by applying an image transformation in the spatial domain to the multiresolution domain. However, this technique is limited to a single fovea context-dependent mobility. This work proposes the definition and the co...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | masterThesis |
| Language: | por |
| Published: |
Brasil
|
| Subjects: | |
| Online Access: | https://repositorio.ufrn.br/jspui/handle/123456789/22258 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Foveation is a computer vision technique for visual information reduction obtained
by applying an image transformation in the spatial domain to the multiresolution domain.
However, this technique is limited to a single fovea context-dependent mobility.
This work proposes the definition and the construction of a multifoveated model called
MMMF (Multiresolution Multifoveation using Mobile Foveae) based on an earlier model
called MMF (Multiresolution with Moving Fovea). In the context of multiple foveae, the
application of various MMF structures, one for each fovea, results in an increase in processing
time, since there are intersections between regions of different structures, which
are processed multiple times. Given MMF structures, an algorithm in order to get disjoint
regions which are to be processed is proposed, avoiding redundant regions and thereby
reducing the processing time. Experiments are proposed to validate the model and to verify
its applicability in the computer vision context. Results show the gain in processing
time of the proposed model compared to the use of multiple MMF structures. |
|---|