Local primitives are useful in the analysis, recognition and retrieval of document and patent images. In this paper, local primitives are classified in 4 and 8-directional spaces at optimally detected junction and end points by using a distance based approach. Local primitives are quantized by using a variant of Local Binary Patterns. Spatial relationships between local primitives are establish...

In our recent work we have introduced a framework for extracting features from solid of mechanical artifacts in polyhedral representation based on scale-space feature decomposition [1]. Our approach used recent developments in efficient hierarchical decomposition of metric data using its spectral properties. In that work, through spectral decomposition, we were able to reduce the problem of mat...

According to the theory of unimodular relativity developed by Anderson and Finkelstein, the equations of general relativity with a cosmological constant are composed of two independent equations, one which determines the null-cone structure of space-time, another which determines the measure structure of space-time. The field equations that follow from the restricted variational principle of th...

I n this paper we discuss a new approach to invariant signatures for recognizing curves under viewing distortions arid partial occlusion. The approach is intended to overcome the ill-posed problem ofjinding derivatives, on which local invariants usually depend. The basic idea is to use invariant finite differences, with a scale parameter that determines the size of the differencing interval. Th...

or long, internet search has been performed almost exclusively at a distance—from one's own desktop computer. When the search contains geographical information, it has been justifiable to provide the entire map of the environment. Such a map typically allows the user to integrate the represented information into his/her geographical survey knowledge. Most recently however, the increasing number...

SLAM algorithms do not perform consistent maps for large areas mainly due to the uncertainties that become prohibitive when the scenario becomes larger and to the increase of computational cost. The use of local maps has been demonstrated to be well suited for mapping large environments, reducing computational cost and improving map consistency. This paper proposes a technique based on using in...

A technique for simultaneous localisation and mapping (SLAM) for large scale scenarios is presented. This solution is based on the use of independent submaps of a limited size to map large areas. In addition, a global stochastic map, containing the links between adjacent submaps, is built. The information in both levels is corrected every time a loop is closed: local maps are updated with the i...