This paper presents a probabilistic similarity measure for object recognition from large libraries of line-patterns. We commence from a structural pattern representation which use...
In this paper a genetic matching scheme is extended to take into account primitive arcs and complex description in the pattern recognition process. Classical ways only focus on seg...
We present a method for on-line mathematical formulae recognition based on the structural construction paradigm and twodimensional grammars. In general, this approach can be succes...
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Abstract. In this contribution, a novel and robust, geometry-based grouping strategy is proposed. Repeated, planar patterns in special relative positions are detected. The grouping...
Andreas Turina, Tinne Tuytelaars, Theo Moons, Luc ...