R. C. Veltkamp, "Shape matching: similarity measures and algorithms," Tech. Rep. UU-CS-2001-03, Utrecht University, 2001.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....also extremely difficult to describe by words shapes that are not in the well known shape or semantic categories. It is thus necessary to have a content based search and retrieval systems for 3D models that are based on the features intrinsic to the 3D models, most important of which is the shape [Paquet97, Suzuki98, Keim99, Elad00, Paquet00, Regli00, Suzuki00, McWherter01, Osada01, Novotni01, Hilaga01, Veltkamp01, Vranic01, Zahaira01, Comey02, lbato02, Mukai02, Ohbuchi02, Osada02, Zahaira02, Funkhouser03, Tangelder03]. Current focuses in the study of shape similarity search of 3D models are the development of robust, concise, yet expressive shape features, and the development of similarity (or, dissimilarity) comparison methods that conforms well to the human notion of shape similarity. Compared to 2D shape ....

R. C. Veltkamp, Shape Matching: Similarity Measures and Algorithms, invited talk, Proc. Int'l Conf. on Shape Modeling and Applications 2001, pp. 188-197, Genova, Italy, May, 2001.

....given a wide variety of shape features and the difficult nature of the comparison. Relatively simple distance measures include Euclidean distance, Manhattan distance, and Hausdorff distance. In the field of contentbased image search and retrieval, many more distance measures have been studied [Veltkamp01]. Another possible approach is to employ a trained classifier, e.g. a neural network or a Support Vector Machine (SVM) Elad01] to tnd the models close to the queried shape. The method to pose a query by itself is a difficult problem for a 3D shape similarity search. The most obvious way is to ....

R. C. Veltkamp. Shape Matching: Similarity Measures and Algorithms, invited talk, Proc. Int 'l Conf. on Shape Modeling and Applications 2001, pp. 188-197, Genova, Italy, May, 2001.

.... classification systems have also been developed for other multimedia data types, including audio [33] images [22] and video [92] Retrieval of data based on shape has been studied in several fields, including computer vision, computational geometry, mechanical CAD, and molecular biology (see [2, 9, 14, 53, 66, 91] for Figure 1: Screenshot of our search engine for 3D models. It allows a user to specify a query using any combination of keywords and sketches (left) Then, for each query, it returns a ranked set of thumbnail images representing the 16 best matching 3D models (right) The user may retrieve any ....

Remco C. Veltkamp. Shape matching: Similarity measures and algorithms. In Shape Modelling International, pages 188--197, May 2001.

....differs from previous research on symmetry detection in that we aim to construct a shape descriptor that can be used for matching, recognition, and classification of 3D shapes. In this respect, our goals are similar to those of prior work on shape representations for retrieval and analysis (see [16, 17, 18, 19, 20] for surveys) There, the challenge is to find a shape descriptor that is: 1) quick to compute, 2) concise to store, 3) easy to index, 4) invariant under similarity transforms, 5) insensitive to noise and small extra features, 6) independent of 3D object representation, tessellation, or ....

Veltkamp, R.C.: Shape matching: Similarity measures and algorithms. In: Shape Modelling International. (2001) 188--197

....triangle) and the objects that are close to this sketch are retrieved. Additionally, most of the CBR systems adopt shape comparison and similarity techniques to shape retrieval process. The following section briefly discusses the histogram comparison techniques employed for shape comparison. In [Vel01] a detailed discussion on these techniques is presented. Moreover, a taxonomy on shape description techniques can be found in [SSS00] 2.3 Histogram Comparison Techniques In this section, the comparison techniques and metrics for histograms or point sets are discussed. The comparison techniques ....

R.C. Veltkamp. Shape matching: Similarity measures and algorithms. Technical Report UU-CS-2001-03, Utrecht University, January 2001.

....circle, triangle) and the objects that are close to this sketch are retrieved. Most of the CBR systems adopt shape comparison and similarity techniques to shape retrieval process. The following section briefly discusses these shape comparison techniques. For a detailed discussion, please refer to [47]. Besides, a taxonomy on shape description techniques is presented in [34] 5.1.3 Histogram Comparison Techniques In this section, the comparison techniques and metrics for histograms or pointsets are discussed. These comparison techniques are applied to the histograms in our approach for ....

R.C. Veltkamp. Shape Matching: Similarity Measures and Algorithms. Technical Report UU-CS-

....introduction to this literature, please consult the survey paper by Campbell and Flynn [7] The vast majority of work in shape matching has focused on characterizing similarity between objects in 2D images. For an overview of 2D shape matching methods we refer the reader to the paper by Veltkamp [31]. Unfortunately, most 2D methods do not extend directly to 3D model matching. In particular, extending methods of comparing boundaries in two dimensions to higher dimensions is nontrivial, both in theory and in practice. In the following, we describe 3D shape matching research based on comparing ....

R.C. Veltkamp, Shape Matching: Similarity Measures and Algorithms, Int. Conf. on Shape Modeling and Applications (SMI 2001.

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R. C. Veltkamp, "Shape matching: similarity measures and algorithms," Tech. Rep. UU-CS-2001-03, Utrecht University, 2001.

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R. C. Veltkamp. Shape matching: Similarity measures and algorithms. In Shape Modelling International, pages 188-- 197, May 2001.

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R.C. Veltkamp, "Shape matching: similarity measures and algorithms", Proc. Shape Modeling International Conference, a. Pasko and M. Spagnuolo, Eds., Los Alamitos, IEEE, 2001, pp. 188-197.

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R. C. Veltkamp. Shape Matching: Similarity Measures and Algorithms. In Shape Modelling International, pages 188--199, 2001.

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Veltkamp, R.C.: Shape matching: Similarity measures and algorithms. In: Shape Modelling International. (2001) 188--197

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R. C. Veltkamp. Shape matching: Similarity measures and algorithms. In Shape Modelling International, pages 188-- 197, May 2001.

No context found.

R. C. Veltkamp. Shape matching: Similarity measures and algorithms. In Shape Modelling International, pages 188-- 197, May 2001.

No context found.

R. Veltkamp. Shape matching: similarity measures and algorithms. Technical Report UU-CS-2001-03, Utrecht University, the Netherlands, 2001.

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R.C. Veltkamp, Shape Matching : Similarity Measure and Algorithms, UUCS -2001-03, Department of Computer Science, Utretch University, February, (2001).

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