نتایج جستجو برای: shape retrieval
تعداد نتایج: 270361 فیلتر نتایج به سال:
Nowadays many three dimensional models feature color information together with the shape description. However current content-based retrieval schemes for 3D models are based on shape information only and ignore color clues. The significance of shape versus color clues for 3D model retrieval is instead a fundamental issue still almost unexplored at this time. A possible approach is to extend sha...
As the development of techniques for modeling, digitizing and visualizing, 3D data are now becoming explosion in number and are widely recognized as the upcoming wave of digital media. In particular, 3D data acquisition techniques make it possible to acquire one 3D object with detailed shape information in a short time. Accordingly, this led to the development of techniques including processing...
Non-rigid 3D shape retrieval has become an active and important research topic in contentbased 3D object retrieval. The aim of this paper is to measure and compare the performance of state-of-the-art methods for non-rigid 3D shape retrieval. The paper develops a new benchmark consisting of 600 non-rigid 3D watertight meshes, which are equally classified into 30 categories, to carry out experime...
Partial 3D object retrieval has attracted intense research efforts due to its potential for a wide range of applications, such as 3D object repair and predictive digitization. This work introduces a partial 3D object retrieval method, applicable on both point clouds and structured 3D models, which is based on a shape matching scheme combining local shape descriptors with their Fisher encodings....
In this paper, a survey of content based image retrieval techniques is given. Image retrieval method based on shape is analyzed primarily, the description and match based on shape are discussed and compared. And relevance feedback is also introduced. At last we put forward the problems in this field and suggest the directions of future
Localized Content based image retrieval is an effective technique for image retrieval in large databases. It is the retrieval of images based on visual features such as color, texture and shape. In this paper, our desired content of an image is not holistic, but is localized. Specifically, we define Localized Content-Based Image Retrieval, where the user is only interested in a portion of the i...
Three-dimensional (3D) models are basis of modern digital manufacturing systems. It has attracted much attention in research and industrial applications to build 3D product models efficiently and cost-effectively. One of promising developments is product models reusing through sharing. The efficient retrieval of 3D product shapes can speed up 3D modeling for product design and manufacturing but...
Content Based Image Retrieval (CBIR) systems based on shape using invariant image moments, viz., Moment Invariants (MI) and Zernike Moments (ZM) are available in the literature. MI and ZM are good at representing the shape features of an image. However, non-orthogonality of MI and poor reconstruction of ZM restrict their application in CBIR. Therefore, an efficient and orthogonal moment based C...
A similar motion search and retrieval system for 3D video are presented based on a modified shape distribution algorithm. 3D video is a sequence of 3D models made for a real-world object. In the present work, three fundamental functions for efficient retrieval have been developed: feature extraction, motion segmentation, and similarity evaluation. Stable-shape feature representation of 3D model...
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