Multiresolution Multifoveation using Moving Foveae
Computer vision, multiresolution, multifoveation, features, SURF.
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 MMFM (multifoveamento em multirresolução com fóveas móveis) based on an earlier model called MFM (multirresolução com fóvea móvel). In the context of multiple foveae, the application of various MFM 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 MFM structures, we propose an algorithm in order to get disjoint regions to be processed, 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. Partial results show the gain in processing time of the proposed model compared to the use of multiple MFM structures.