We propose a graphical indexing of images to be exposed on the Web. This should be accomplished by "keypics", i.e. auxiliary,
simplified pictures referring to the geometrical and/or the semantic content of the indexed image. Keypics should not be rigidly standardized; they should be left free to evolve, to express nuances and to stress details. A mathematical tool for dealing with such freedom already exists: Size Functions. We support the idea of keypics with some experiments on a 498 images dataset.
The VIDET project aims to the design of a tactile vision substitution system for the visually impaired. An important enhancement would be color rendering. Here we face the possibility of conveying color information to the fingers by means of vibrations. Experiments on seeing and blind subjects confirm the validity of the idea.
A 2-parameter family of size functions is introduced, which allows the recognition of planar finite sets up to congruence. Some experiments on digital images are shown.
The ability to determine an object's position accurately and quickly is important in many robotics tasks. Monocular scene analysis based on perspective projection can be successfully used to solve this problem if a-priori knowledge on objects is available. In this paper analytic procedures for perspective inversion of quadrics of revolution--in particular for spheres, cones and cylinders--are presented. Preliminary experimental results on real images of a test object are provided, with the main goal to test the procedures accuracy and the suitability of the available low-level processing.
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