Projective texture mapping is used to project a texture map onto scene geometry. It has been used in many applications, since it eliminates the assignment of fixed texture coordinates and provides a good method of representing synthetic images or photographs in image-based rendering. But conventional projective texture mapping has limitations in the field of view and the degree of navigation be...

Doors are important landmarks for indoor mobile robot navigation and also assist blind people to independently access unfamiliar buildings. Most existing algorithms of door detection are limited to work for familiar environments because of restricted assumptions about color, texture and shape. In this paper we propose a novel approach which employs feature based classification and uses the Koho...

In this paper we present a simple, yet effective method to map data set values of different distributions to a color map in order to reveal interesting structures. We make use of an ordering and a simple projection technique to transform the data set before color mapping. Our transformation yields convincing results for various distributions. It also removes the burden from the user to test sev...

In a paper of 1950 Graves proved that for a function f acting between Banach spaces and an interior point x̄ in its domain, if there exists a continuous linear mapping A which is surjective and the Lipschitz modulus of the difference f −A at x̄ is sufficiently small, then f is (linearly) open at x̄. This is an extension of the Banach open mapping principle from continuous linear mappings to Lipsch...

This paper describes a prototype system for quickly developing joint military courses of action. The system, SOCAP (System for Operations Crisis Action Planning), combines a newly extended version of an AI planning system, SIPE{2 (System for Interactive Planning and Execution), with a color map display and applies this technology to military operations planning. This paper describes the Socap p...

Due to its attributes, such as parallelism, adaptability, robustness and inherent ability to handle non-linearality, the artificial neural network has shown great promise in the function mapping, pattern recognition, imagine processing, etc. The dynamic function mapping, dynamic pattern recognition and dynamic imagine processing are still challenging topics in neural network applications. A neu...

In an extension of Newton’s method to generalized equations, we carry further the implicit function theorem paradigm and place it in the framework of a mapping acting from the parameter and the starting point to the set of all associated sequences of Newton’s iterates as elements of a sequence space. An inverse function version of this result shows that the strong regularity of the mapping asso...