New pixeland region-based multiresolution image fusion algorithms are introduced in this paper using the Parameterized Logarithmic Image Processing (PLIP) model, a framework more suitable for processing images. A mathematical analysis shows that the Logarithmic Image Processing (LIP) model and standard mathematical operators are extreme cases of the PLIP model operators. Moreover, the PLIP mode...

In this paper, we propose a new multiresolution-based shape representation for 3D mesh morphing. Our approach does not use combination operations that caused some serious problems in the previous approaches for mesh morphing. Therefore, we can calculate a hierarchical interpolation mesh robustly using two types of subdivision fitting schemes. Our new representation has a hierarchical semiregula...

This paper describes a multiresolution method for implicit curves and surfaces The method is based on wavelets and is able to simplify the topology The implicit curves and surfaces are de ned as the zero valued algebraic isosurface of a tensor product uniform cubic Bspline A wavelet multiresolution method that deals with uniform cubic Bsplines on bounded domains has been constructed Further the...

Multiresolution models represent objects providing a wide range of resolutions or levels of detail (LOD). Efficient storage and retrieval of the different LODs is necessary in order to achieve interactive visualization. In this paper we present a data structure and algorithm that, using a Multiresolution Ordered Meshes (MOM) representation, allow us to extract uniform resolution LODs exploiting...

Abstract . The technological advancement in the computer controlled systems and other areas in the process industries makes available continuous stream of data to be exploited utilizing on-line systems environment. This paper presents a procedure for on-line learning with wave-nets with the aid of such a stream of data. Wave-nets are wavelet-based neural networks with localized and hierarchical...

Multiresolution Hierarchies (MH) and Directed Acyclic Graphs (DAG) are two recent approaches for the compression of highresolution shadow information. In this paper, we introduce Merged Multiresolution Hierarchies (MMH), a novel data structure that unifies both concepts. An MMH leverages both hierarchical homogeneity exploited in MHs, as well as topological similarities exploited in DAG represe...

To evaluate coherent structures in the dimension of time and scale, a new procedure based on the multiresolution analysis and multiresolution auto-correlation analysis is developed in this paper. By analyzing uand v-components of fluctuating velocity, the coherent structure and its scales can be identified when larger amplitude fluctuation and stronger auto-correlation are appeared at same wave...

Multiresolution representations of 3D surfaces make it possible to concentrate the efforts of a modification at the appropriate level of detail. This paper introduces a multiresolution representation for point-set surfaces. At each level, the point set is smoothed and downsampled, and the geometric details are encoded along the smoothed surface normal. The resulting structure is only slightly l...

We present a method for compact encoding of attributes such as normal vectors defined on a triangle mesh of arbitrary topology suitable in the context of view-dependent simplification. It is based on the recently introduced CAME data structure (Compressed Adaptive Multiresolution Encoding). In accordance with the vertex hierarchy defined by mesh simplification, we define an attribute hierarchy ...