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Efficient retrieval by shape content
Proceedings IEEE International Conference on Multimedia Computing and Systems, 2003We propose an approach for image similarity retrieval based on shape information. The heart of our methodology is a a dynamic programming shape matching algorithm which detects similarities between shapes at various levels of shape detail (resolution).
Euripides G. M. Petrakis +1 more
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2021
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Efficient retrieval of similar shapes
The VLDB Journal The International Journal on Very Large Data Bases, 2002We propose an indexing technique for the fast retrieval of objects in 2D images based on similarity between their boundary shapes. Our technique is robust in the presence of noise and supports several important notions of similarity including optimal matches irrespective of variations in orientation and/or position.
Davood Rafiei, Alberto O. Mendelzon
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Effcient Shape Retrieval by Parts
1999Modern visual information retrieval systems support retrieval by directly addressing image visual features such as color, texture, shape and spatial relationships. However, combining useful representations and similarity models with effcient index structures is a problem that has been largely underestimated.
BERRETTI, STEFANO +2 more
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Protein Shape Retrieval Contest
3DOR 2019, 2019Florent Langenfeld, Apostolos Axenopoulos, Halim Benhabiles, Petros Daras, Andrea Giachetti, Xusi Han, Karim Hammoudi, Daisuke Kihara, Tuan M. Lai, Haiguang Liu, Mahmoud Melkemi, Stelios K.
Florent Langenfeld +15 more
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Curve normalization for shape retrieval
Signal Processing: Image Communication, 2014In this paper, we propose a novel part-based approach for two dimensional (2-D) shape description and recognition. According to this method, first the polygonal approximation is employed to represent the outline shape by an ordered sequence of parts. Then using the Least squares model, each part is associated with a cubic polynomial curve. The obtained
Nacéra Laiche +3 more
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Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia, 2009
Shape is one of the most important image features for retrieval of images in a Content-Based Image Retrieval system. However, due to inherent difficulties and limitations of processes to describe a shape, this feature is fairly less commonly used. We propose a neural network-based shape retrieval system in which moment invariants and/or Zernike moments
Nan Xing, Imran Shafiq Ahmad
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Shape is one of the most important image features for retrieval of images in a Content-Based Image Retrieval system. However, due to inherent difficulties and limitations of processes to describe a shape, this feature is fairly less commonly used. We propose a neural network-based shape retrieval system in which moment invariants and/or Zernike moments
Nan Xing, Imran Shafiq Ahmad
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2018
Proteins are macromolecules central to biological processes that display a dynamic and complex surface. They display multiple conformations differing by local (residue side-chain) or global (loop or domain) structural changes which can impact drastically their global and local shape.
Florent Langenfeld +22 more
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Proteins are macromolecules central to biological processes that display a dynamic and complex surface. They display multiple conformations differing by local (residue side-chain) or global (loop or domain) structural changes which can impact drastically their global and local shape.
Florent Langenfeld +22 more
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Shape Retrieval by Hierarchical Evolution
2001A robust shape matching approach should be invariable to rotation transition and scale. In this paper, a multiscale shape matching approach is presented based on discrete curve evolution. Given different maximum transform error, using haar transform, we can not only decompose 2D object into polygonal curve but also induce a hierarchical structure of ...
Hans Shui-Hua, Zhengding Lu
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Ensemble of shape descriptors for shape retrieval and classification
International Journal of Advanced Intelligence Paradigms, 2014Shape classification has long been a field of study in computer vision. In this work, we propose an ensemble of approaches using the weighted sum rule that is based on a set of widely used shape descriptors inner-distance shape context, shape context, and height functions. Features are obtained by transforming these shape descriptors into a matrix from
Loris Nanni +2 more
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