Abstract The bulk-boundary correspondence is a key feature of topological physics and universally applicable to Hermitian non-Hermitian systems. Here, we report similar universal intended for the rogue waves in integrable systems, by establishing relationship between fundamental wave solutions models baseband modulation instability continuous-wave backgrounds. We employ an N -component generali...

Feature tracking algorithms for instationary vector fields are usually based on a correspondence analysis of the features at different time steps. This paper introduces a method for feature tracking which is based on the integration of stream lines of a certain vector field called feature flow field. We analyze for which features the method of feature flow fields can be applied, we show how eve...

A method estimating motion and planar surface parameters based on pixel intensity is proposed. Conventional approaches for estimation of these parameters are based on detected edge or feature points correspondence. Thus the problem is one of searching for any point which corresponds to feature points in other images. These approaches provide a solution from sparse points, however the shape cann...

We present a Bayesian approach for model-based classi"cation from unordered, attributed feature sets. A set of features is estimated from measured data and is matched with a set predicted for each candidate hypothesis using a feature model. Both extracted and predicted feature sets have uncertainty, and some features may not be present in one set or the other. Computation of the match likelihoo...

Decaling is an intuitive paradigm for texture mapping in an analogy of attaching stickers on an object in the real world. This paradigm enables an artist to put decals directly on a 3D model after interactive manipulations such as modifying their positions, scales and orientations. In this paper, we present a novel method for multipleconstrained decaling. Given a region inside a texture togethe...

We relate the problem of finding a correspondence between sensed and model features to that of finding a match between a random set of letters and words in a dictionary. The process is equivalent to hashing and the lexical perspective illuminates items such as design tradeoffs, computational complexity, and hashing function definition. A method for two-dimensional pose estimation based on this ...

Abstract: Image feature detection is a fundamental issue in many intermediate level vision problems such as stereo, motion correspondence, image registration, and object recognition. In this paper we present an approach to feature detection based on a scale-interaction model. This feature detector is responsive to short lines, line endings, corners and other such sharp changes in curvature. We ...