نتایج جستجو برای: shape retrieval
تعداد نتایج: 270361 فیلتر نتایج به سال:
The Fourier Descriptor (FD) is a powerful tool for shape analysis and many signatures have been proposed to derive Fourier descriptors. These shape signatures lack of important information in articulation and part structures of complex shapes. In this study, the Inner-Centroid Distance (ICDs) signature which is based on the Centroid Distance signature and Inner-Distance is developed to overcome...
In this paper we present the results of the SHREC’09Generic Shape Retrieval Contest. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on the NIST generic shape benchmark. We hope that the NIST shape benchmark will provide valuable contributions to the 3D shape retrieval community. Seven groups have participated in the track and they have submitted ...
This paper presents a novel shape representation, called elliptical shape coding, and uses it to develop an efficient shape retrieval algorithm. The elliptical shape coding transforms an original shape, which is a single, closed contour in our experiments, into a periodic signal. The alignment between two shapes is accomplished efficiently by performing convolution of the corresponding periodic...
Shape is one of the most important features in Content Based Image Retrieval (CBIR). Many shape representations and retrieval methods exists. However, most of those methods either do not well represent shape or are difficult to do normalization (making matching hard). Among them, methods based Fourier descriptors (FD) achieve both well representation and well normalization. Different shape sign...
Shape description is one of the key parts of image content description for image retrieval. Most of existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. In this paper, a generic Fourier descriptor (GFD) is proposed to overcome the drawbacks of existing shape representation techniques. The proposed shape descrip...
Shape-based Image Retrieval By Aditya Vailaya Retrieval e ciency and accuracy are two important issues in designing a contentbased database retrieval system. We propose a new image database retrieval method based on shape information. This system achieves both the desired e ciency and accuracy using a two-stage hierarchy: in the rst stage, simple and easily computable statistical shape features...
We present an approach for robust shape retrieval from databases containing articulated 3D models. Each shape is represented by the eigenvectors of an appropriately defined affinity matrix, forming a spectral embedding which achieves normalization against rigid-body transformations, uniform scaling, and shape articulation (i.e., bending). Retrieval is performed in the spectral domain using glob...
The general objective of the 3D Shape Retrieval Contest (see http://www.aimatshape.net/event/ SHREC) is to evaluate the effectiveness of 3D-shape retrieval algorithms. After three years of success, the contest is now organized in conjunction with the Eurographics Workshop on 3D Object Retrieval, where the evaluation results are presented. Thanks to the effort of previous track organizers, SHREC...
Content-based image retrieval (CBIR) is an important multimedia application. In recently emerged MPEG-7 standard, image content is described by perceptual features such as color, texture and shape. Many shapebased image retrieval techniques have been proposed in literature. However, almost all of these techniques assume isolated objects and use only shape feature for retrieval. General image re...
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