method for segmenting markers only

Abstract. We propose a new technique to help users to explore geometric shapes without vision. This technique is based on a guidance using directional cues with a pin array. This is an alternative to the usual technique that consists of raising the pins corresponding to dark pixels around

Pictorial interference with geometric shapes and

We present the results of user studies that were performed on sighted people to test their ability to detect simple shapes with SoundView. SoundView is an experimental vision substitution system for the blind. Visual images are mapped onto a virtual surface with a fine-grained color dependent

Rectangular lattices were introduced by Grätzer-Knapp [3] for planar semimod-ular lattices. This notion is an important tool by the description of planar semi-modular lattices. J(L) denotes the order of all nonzero join-irreducible elements of L and J0(K) is J(L) ∪ 0. Let X,Y be posets. The disjoint sum X+Y of X and Y is the set of all elements in X and Y considered as disjoint. The relation ≤ keeps its meaning in X and in Y, while neither x ≥ y nor x ≤ y for all x ∈ X, y ∈ Y. If R is a rectangular slim semimodular lattice then J(R) is the disjoint sum of two chains C1 and C2 wich means that that x ∈ C1, x ∈ C2 are incomparable. The width w(P) of a (finite) order P is defined to be max{n: P has an n-element antichain}. The width of J(L) is called the dimension of a semimodular lattice L and will be denoted by dim(R). An other dimension concept is Dim(L). n = Dim(L) is the greatest integer such that L contains a sublattice isomorphic to the 2n-element boolean lattice. If L is a distributive lattice then dim(L) = Dim(L). On the other hand Dim(M3) = 2 and dim(M3) = 3.

Abstract: This paper is focused on on-line geometric shape recognition (Ulgen et al. 1999) based on fuzzy techniques and backpropagation neural algorithm. We propose a new method for geometric shape recognition using a fuzzy classifier of angles and a multilayer neural network for training

This paper presents a simple method, based on fuzzy logic, to recognize multi-stroke sketches of geometric shapes and uni-stroke gestural commands. It uses temporal adjacency and global geometric properties of figures to recognize a simple vocabulary of geometric shapes drawn in different line

Shape approximation is an important optimization problem in computational geometry.

This paper presents a simple method to recognise multi-stroke sketches of geometric shapes. It uses temporal adjacency and global geometric properties of figures to recognise a simple vocabulary of geometric shapes including solid and dashed line styles, selection and delete gestures

Added masses computation for unconventional airships and aerostats