[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

The unprecedented growth in the tourism industry during the last fifty years has created major challenges in tourism marketing. As more and more areas of the world are developed for tourism, the destination choices available to consumers continue to expand. Furthermore, today's consumers, facilitated by increased leisure time, rising levels of disposable income and more efficient transportation networks, have the means to choose from among this much larger variety of destinations. As a result, tourism marketers are now faced with influencing consumer decision making in an increasingly complex and competitive global marketplace.

The meaning and measurement of destination image.

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Biomechanics And Motor Control Of Human Movement

Numerical Initial Value Problems in Ordinary Differential Equations

コンピュータ・サイエンス : ACM computing surveys

In this paper, we describe a hierarchical face clustering algorithm for triangle meshes based on fitting primitives belonging to an arbitrary set. The method proposed is completely automatic, and generates a binary tree of clusters, each of which is fitted by one of the primitives employed. Initially, each triangle represents a single cluster; at every iteration, all the pairs of adjacent clusters are considered, and the one that can be better approximated by one of the primitives forms a new single cluster. The approximation error is evaluated using the same metric for all the primitives, so that it makes sense to choose which is the most suitable primitive to approximate the set of triangles in a cluster.Based on this approach, we have implemented a prototype that uses planes, spheres and cylinders, and have experimented that for meshes made of 100 K faces, the whole binary tree of clusters can be built in about 8 s on a standard PC.The framework described here has natural application in reverse engineering processes, but it has also been tested for surface denoising, feature recovery and character skinning.

/pdf/hierarchical-mesh-segmentation-based-on-fitting-primitives-4hlp5w1d0i.pdf

Hierarchical mesh segmentation based on fitting primitives

http://reuter.mit.edu/papers/reuter-smi09.pdf

Technical Section: Discrete Laplace-Beltrami operators for shape analysis and segmentation

Mesh segmentation has become an important component in many applications in computer graphics. In the last several years, many algorithms have been proposed in this growing area, offering a diversity of methods and various evaluation criteria. This paper provides a comparative study of some of the latest algorithms and results, along several axes. We evaluate only algorithms whose code is available to us, and thus it is not a comprehensive study. Yet, it sheds some light on the vital properties of the methods and on the challenges that future algorithms should face.

/pdf/mesh-segmentation-a-comparative-study-3r2d49jq9d.pdf

Mesh Segmentation - A Comparative Study

Reeb graphs for shape analysis and applications

Differential topology, and specifically Morse theory, provide a suitable setting for formalizing and solving several problems related to shape analysis The fundamental idea behind Morse theory is that of combining the topological exploration of a shape with quantitative measurement of geometrical properties provided by a real function defined on the shape The added value of approaches based on Morse theory is in the possibility of adopting different functions as shape descriptors according to the properties and invariants that one wishes to analyze In this sense, Morse theory allows one to construct a general framework for shape characterization, parametrized with respect to the mapping function used, and possibly the space associated with the shape The mapping function plays the role of a lens through which we look at the properties of the shape, and different functions provide different insightsIn the last decade, an increasing number of methods that are rooted in Morse theory and make use of properties of real-valued functions for describing shapes have been proposed in the literature The methods proposed range from approaches which use the configuration of contours for encoding topographic surfaces to more recent work on size theory and persistent homology All these have been developed over the years with a specific target domain and it is not trivial to systematize this work and understand the links, similarities, and differences among the different methods Moreover, different terms have been used to denote the same mathematical constructs, which often overwhelm the understanding of the underlying common frameworkThe aim of this survey is to provide a clear vision of what has been developed so far, focusing on methods that make use of theoretical frameworks that are developed for classes of real functions rather than for a single function, even if they are applied in a restricted manner The term geometrical-topological used in the title is meant to underline that both levels of information content are relevant for the applications of shape descriptions: geometrical, or metrical, properties and attributes are crucial for characterizing specific instances of features, while topological properties are necessary to abstract and classify shapes according to invariant aspects of their geometry The approaches surveyed will be discussed in detail, with respect to theory, computation, and application Several properties of the shape descriptors will be analyzed and compared We believe this is a crucial step to exploit fully the potential of such approaches in many applications, as well as to identify important areas of future research

/pdf/describing-shapes-by-geometrical-topological-properties-of-3eispojr71.pdf

Michela Spagnuolo

Papers

Hierarchical mesh segmentation based on fitting primitives

Technical Section: Discrete Laplace-Beltrami operators for shape analysis and segmentation

Mesh Segmentation - A Comparative Study

Reeb graphs for shape analysis and applications

Describing shapes by geometrical-topological properties of real functions