In this research work, a new method is proposed for linearizing class of nonlinear multivariable system; where the number inputs divides exactly states. The idea consists in representing original system into state-dependent coefficient form and applying block similarity transformations that allow getting linearized companion form. Because system’s eigenstructure can determine performance robust...

the different similarity transformation (dst) technique (stavrev, 1997) utilizes a powerful and fully automatic tool for depth estimation of a point source through euler de-convolution. stavrev (1997) showed the results for the magnetic data of simple 2-d sources and aeromagnetic data along profiles. we apply the technique for the gravity data of 2-d rectangular models and real gravity data whi...

Most existing methods for partially occluded object recognition are only suit for Euclid and similarity transformation. As a result, the performance would be degraded in the affine and perspective transformation. This paper focuses on partially occluded shape recognition under affine transformation. The recognition algorithms are as follows : First, a new local invariant under affine transforma...

In this paper, we present a method for non-rigid, partial shape matching in vector graphics. Given a user-specified query region in a 2D shape, similar regions are found, even if they are non-linearly distorted. Furthermore, a non-linear mapping is established between the query regions and these matches, which allows the automatic transfer of editing operations such as texturing. This is achiev...

The transformational theory of similarity suggests that when judging similarity, people are sensitive to the number of transformation operations needed to make two compared representations match. Although this theory has been influential, little is known about how transformations are learned and to what extent learned transformations affect similarity judgments. This paper presents two experime...

Three experiments provide evidence that the perceived similarity between two images is systematically affected by the inherent direction of a transformation that links the two. Participants were shown short animations morphing one object into another from the same basic category. They were then asked to make directional similarity judgments ("How similar is object A to object B?") for two stati...