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Similar-shape retrieval in shape data management
Computer, 1995Addresses the problem of similar-shape retrieval, where shapes or images in a shape database that satisfy specified shape-similarity constraints with respect to the query shape or image must be retrieved from the database. In its simplest form, the similar-shape retrieval problem can be stated as, "retrieve or select all shapes or images that are ...
Rajiv Mehrotra, James E. Gary
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Indirect shape analysis for 3D shape retrieval
Computers & Graphics, 2015We introduce indirect shape analysis, or ISA, where a given shape is analyzed not based on geometric or topological features computed directly from the shape itself, but by studying how external agents interact with the shape. The potential benefits of ISA are two-fold.
Zhenbao Liu +6 more
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SHape REtrieval Contest (SHREC) 2008
2008 IEEE International Conference on Shape Modeling and Applications, 2008Since 2006 the 3D shape retrieval contest SHREC has been organized. The general objective is to evaluate the effectiveness of 3D shape retrieval algorithms. 3D media retrieval is overlooked in most commercial search engines, while at the same time it is expected to represent a huge amount of traffic and data stored in the Internet.
Veltkamp R.C., Ter Haar F.B.
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THE NORMALIZED WAVELET DESCRIPTOR FOR SHAPE RETRIEVAL
International Journal of Wavelets, Multiresolution and Information Processing, 2008In many image analysis applications, such as image retrieval, the shape of an object is of primary importance. In this paper, a new shape descriptor, namely the Normalized Wavelet Descriptor (NWD), which is a generalization and extension of the Wavelet Descriptor (WD), is introduced.
Kimcheng Kith +2 more
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Self-closed partial shape descriptor for shape retrieval
2012 19th IEEE International Conference on Image Processing, 2012We propose a discriminative partial-based algorithm for shape recognition and retrieval. A key distinction of our approach is that we use pairwise geometric relations between contour fragments containing important and salient shape information to establish self-closed partial descriptor (SCPD), it can capture similar local parts in matching shape ...
Huijie Fan, Yang Cong, Yandong Tang
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Shape Processing and Image retrieval.
Obj. Logiciel Base données Réseaux, 2000International ...
Bouet, Marinette +3 more
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2010
This paper presents a contour-based indexing and retrieval method for content-based image/video retrieval applications. It is based on extracting closed contours, smoothing the contour, indexing with a variation of BK-trees, and using a turning function metric for data comparison.
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This paper presents a contour-based indexing and retrieval method for content-based image/video retrieval applications. It is based on extracting closed contours, smoothing the contour, indexing with a variation of BK-trees, and using a turning function metric for data comparison.
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An approach to image retrieval based on shape
Journal of Information Science, 1997In a content-based image retrieval system, it is necessary to find a metric to index shapes of objects in the images. The metric should be unique to each shape, regardless of size and orientation. A similarity measure is also needed which should reflect the perceptual similarity, i.e.
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Fast Retrieval of Isolated Visual Shapes
Computer Vision and Image Understanding, 2002Summary: Similarity-based retrieval from databases of isolated visual shapes has become an important information retrieval problem. The goal of the current work is to achieve high retrieval speed with reasonable retrieval effectiveness, and support for partial and occluded shape queries. In the proposed method, histograms of local shape parts are coded
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2003
Together with color and texture, shape is one of the basic features in computer vision. Shape analysis methods play an important role in systems for object recognition, matching, registration, and analysis. Research in shape analysis has been motivated, in part, by studies of human visual form perception systems.
Nicu Sebe, Michael S. Lew
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Together with color and texture, shape is one of the basic features in computer vision. Shape analysis methods play an important role in systems for object recognition, matching, registration, and analysis. Research in shape analysis has been motivated, in part, by studies of human visual form perception systems.
Nicu Sebe, Michael S. Lew
openaire +1 more source