Quantitative Performance Analysis of Hybrid Mesh Segmentation

This paper presents a comprehensive quantitative performance analysis of hybrid mesh segmentation algorithm. An important contribution of this proposed hybrid mesh segmentation algorithm is that it clusters facets using “facet area” as a novel mesh attribute. The method does not require to set any critical parameters for segmentation. The performance of the proposed algorithm is evaluated by comparing the proposed algorithm with the recently developed state-of-the-art algorithms in terms of coverage, time complexity, and accuracy. The experimentation results on various benchmark test cases demonstrate that Hybrid Mesh Segmentation approach does not depend on complex attributes, and outperforms the existing state-of-the-art algorithms. The simulation reveals that Hybrid Mesh Segmentation achieves a promising performance with coverage of more than 95%

A remark on the ideal extension property

As a sequel to [23] we investigate ideal properties focusing on subtractive varieties. After having listed a few basic results, we give several characterizations of the commutator of ideals and prove, for example, that it commutes with finite direct products. We deal with the ideal extension property (IEP) and with related commutator properties, showing for instance that IEP implies that the commutator commutes with restriction to subalgebras. Then we characterize varieties with distributive ideal lattices and relate this property with (a form of) equationally definable principal ideals and with IEP. Then, at the other extreme, we deal with Abelian and Hamiltonian properties (of ideals and congruences), giving for example a purely ideal theoretic characterization of varieties of Abelian groups with linear operations. To finish with, we present a few examples aiming at vindicating our work

A Sourcebook for the Interpretation of Traditional Dance by Outdoor Museums & Historic Sites

Folklife scholars often produce work which is valuable to outdoor museums and historic sites. Folklife scholars deal with functional, contextual, emic, and interdisciplinary studies--all approaches which produce valuable interpretive data for museums and sites. This thesis is an example of folklife work designed for use in the museum field. Outdoor museums and historic sites are increasingly involved with the interpretation of social and emotional life. Because it is a social and emotional event, dance can be a valuable part of this interpretation. Sites and museums developing programs of traditional dance interpretation may find it helpful to follow several steps: 1.) determine through research that dance did occur at the site and time period portrayed; 2.) identify the interpretive themes and objectives dance can fulfill; 3.) gather as much information about the site\u27s dance traditions as possible through research employing a wide variety of sources; 4.) learn to perform the dances, identify their interpretive significance, and incorporate them in interpretive programs. The text includes both descriptions and examples of a wide variety of research sources--primary, secondary, iconographic, material culture, and others. Also included is a checklist of aspects of dance events any or all of which staff members may wish to research and interpret. The closing Sources and Resources section is an annotated guide to books, periodicals, organizations, and other sources of assistance in dance interpretation

Indoor Scene Classification using combined 3D and Gist Features

Swadzba A, Wachsmuth S. Indoor Scene Classification using combined 3D and Gist Features. In: Computer Vision - ACCV 2010. Lecture Notes in Computer Science, 6493. Berlin, Heidelberg: Springer; 2011: 201-215.Scene categorization is an important mechanism for providing high-level context which can guide methods for a more detailed analysis of scenes. State-of-the-art techniques like Torralba’s Gist features show a good performance on categorizing outdoor scenes but have problems in categorizing indoor scenes. In contrast to object based approaches, we propose a 3D feature vector capturing general properties of the spatial layout of indoor scenes like shape and size of extracted planar patches and their orientation to each other. This idea is supported by psychological experiments which give evidence for the special role of 3D geometry in categorizing indoor scenes. In order to study the in uence of the 3D geometry we introduce in this paper a novel 3D indoor database and a method for de ning 3D features on planar surfaces extracted in 3D data. Additionally, we propose a voting technique to fuse 3D features and 2D Gist features and show in our experiments a signi cant contribution of the 3D features to the indoor scene categorization task

On the diameter of the intersection graph of a finite simple group

summary:Let $G$ be a finite group. The intersection graph $\Delta _G$ of $G$ is an undirected graph without loops and multiple edges defined as follows: the vertex set is the set of all proper nontrivial subgroups of $G$, and two distinct vertices $X$ and $Y$ are adjacent if $X\cap Y\ne 1$, where $1$ denotes the trivial subgroup of order $1$. A question was posed by Shen (2010) whether the diameters of intersection graphs of finite non-abelian simple groups have an upper bound. We answer the question and show that the diameters of intersection graphs of finite non-abelian simple groups have an upper bound $28$. In particular, the intersection graph of a finite non-abelian simple group is connected