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Curvature Correlograms for Content Based Retrieval of 3D Objects [chapter]

G. Antini, S. Berretti, A. Del Bimbo, P. Pala
2005 Lecture Notes in Computer Science  
In this paper, as a solution to this requirement, we present a method relying on curvature correlograms to perform description and retrieval by content of 3D objects.  ...  In order to support effective retrieval by content of 3D objects and enable retrieval by object parts, information about local object structure should be combined with spatial information on object surface  ...  For this peculiarity, description of 3D objects based on correlograms of curvature proves to be very effective for the purpose of content based retrieval of 3D objects.  ... 
doi:10.1007/11553595_105 fatcat:kt7gou6xerdrrajp3d2ncqd63q

DelosDLMS - The Integrated DELOS Digital Library Management System [chapter]

Maristella Agosti, Stefano Berretti, Gert Brettlecker, Alberto del Bimbo, Nicola Ferro, Norbert Fuhr, Daniel Keim, Claus-Peter Klas, Thomas Lidy, Diego Milano, Moira Norrie, Paola Ranaldi (+6 others)
2007 Lecture Notes in Computer Science  
The prototype is based on the OSIRIS/ISIS platform, a middleware environment developed by ETH Zürich and now being extended at the University of Basel.  ...  Currently, DelosDLMS combines text and audio-visual searching, offers new information visualization and relevance feedback tools, provides novel interfaces, allows retrieved information to be annotated  ...  For this peculiarity, description of 3D objects based on correlograms of curvature proves to be effective for the purpose of content based retrieval of 3D objects.  ... 
doi:10.1007/978-3-540-77088-6_4 fatcat:jqmbbenmefetvan4hqf66bprsm

Content-based retrieval of 3D models

Alberto Del Bimbo, Pietro Pala
2006 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
In this framework, content-based retrieval of 3D objects is becoming an important subject of research, and finding adequate descriptors to capture global or local characteristics of the shape has become  ...  In the past few years, there has been an increasing availability of technologies for the acquisition of digital 3D models of real objects and the consequent use of these models in a variety of applications  ...  For content-based retrieval of 3D objects, a recent survey by Tangelder and Veltkamp [2004] presents an overview of the solutions that have been proposed in the literature for the description of 3D object  ... 
doi:10.1145/1126004.1126006 fatcat:fma6lgiyvvfcfi2jj7zrlbmmx4

Deformable shape retrieval using bag-of-feature techniques

Hedi Tabia, Mohamed Daoudi, Jean-Philippe Vandeborre, Olivier Colot, J. Angelo Beraldin, Geraldine S. Cheok, Michael B. McCarthy, Ulrich Neuschaefer-Rube, Atilla M. Baskurt, Ian E. McDowall, Margaret Dolinsky
2011 Three-Dimensional Imaging, Interaction, and Measurement  
We present a novel method for 3D-shape matching using Bag-of-Feature techniques (BoF). The method starts by selecting and then describing a set of points from the 3D-object.  ...  Such descriptors have the advantage of being invariant to different transformations that a shape can undergo. Based on vector quantization, we cluster those descriptors to form a shape vocabulary.  ...  Some methods directly analyze the 3D-mesh -such as Antini et al. 2 who use curvature correlograms -and some others use a 2D-view based approach -such as Filali et al. 3 who propose an adaptive nearest  ... 
doi:10.1117/12.872182 dblp:conf/3dica/TabiaDVC11 fatcat:3q4mqu37ozftvm2h32sygcy7fm

Comparison of query optimization techniques in content based image retrieval (CBIR)

Mariam Alharthi, Fahad Alqurashi
2019 International Journal of Applied Mathematical Research  
This paper concentrates on hastening techniques for efficient retrieval of images. Content-Based Image Retrieval (CBIR) systems are used by common approaches.  ...  With increasing the popularity of World Wide Web, storing digital contents increases enormously, in that case, it is important to implement convenient information systems which manage the collections of  ...  CBR for images The image content consists of several objects; some of these objects are substantially from the system perspective.  ... 
doi:10.14419/ijamr.v8i1.29435 fatcat:wp6wl5gvprgfbec5eyutlh24m4

Proceedings 16th International Conference on Pattern Recognition

2002 Object recognition supported by user interaction for service robots  
Kokkinakis A Region-Based Method for Model-Free Object Tracking 592 Y. Huang, T. Huang, and H. Niemann Enhanced Canny Edge Detection Using Curvature Consistency 596 P.  ...  Boujemaa A Hybrid TreeApproach for Efficient Image Database Retrieval with Dynamic Feedback 263 J. Harnsomburana and C. Shyu Temporal Color Correlograms in Video Retrieval 267 M.  ... 
doi:10.1109/icpr.2002.1044572 fatcat:3yvquccps5aqdmizmzyhbkybwi

A survey on cbir techniques and learning algorithm comparison

2016 International Journal of Latest Trends in Engineering and Technology  
Thus, an efficient algorithm of image retrieval based on color-correlogram for color feature extraction, wavelet transformation for extracting shape features and Gabor wavelet for texture feature extraction  ...  Selection of extracted features performs an important role in content based video retrieval.  ... 
doi:10.21172/1.81.026 fatcat:jvw72a4pmjhmzogib5gqy7sgqm

An analysis of content-based image retrieval

Hakan KOYUNCU, Manish DİXİT, Baki KOYUNCU
2021 International Advanced Researches and Engineering Journal  
Thus, the Content-Based Image Retrieval (CBIR) method has become the most valuable method for these databases.  ...  This study mainly focuses on content-based image retrieval; which uses image features like color, shape, texture, etc. by searching the user query image from a large image database based on user request  ...  Introduction Content-based image retrieval (CBIR) also known as Content-Based Visual Information Retrieval (CBVIR) or Query by Image Content (QBIC), is a method for solving image retrieval problems that  ... 
doi:10.35860/iarej.811927 fatcat:jkljdjgipjeltfzd4rqu46fyri

A parts-based approach for automatic 3D shape categorization using belief functions

Hedi Tabia, Mohamed Daoudi, Jean-Philippe Vandeborre, Olivier Colot
2013 ACM Transactions on Intelligent Systems and Technology  
The method described in this paper, is a belief function based approach and consists of two stages.  ...  The training stage, where 3D-objects in the same category are processed and a set of representative parts is constructed, and the labeling stage, where unknown objects are categorized.  ...  [Antini et al. 2005 ] present an approach relying on curvature correlograms to perform description and retrieval by content of 3D objects.  ... 
doi:10.1145/2438653.2438668 fatcat:nwankj27sndhhlymcjdurkb3cm

A survey on depth based 3D image Modeling

Dr. Dayanand G Savakar, Ravi Hosur
2017 International Journal of Engineering and Technology  
Also the image is desirable to recognize 3D-objects of the system in the user's environment, in order to avoid manual based method.  ...  INTRODUCTION Depth based 3D-object construction and its recognition is the most challenging area of research in the DIP (Digital Image Processing).  ...  The experimentation resulted that in content based image retrieval it is easy to compare the states like color correlogram and latest MPEG7 color structure, and also it is the possibility of developing  ... 
doi:10.21817/ijet/2017/v9i4/170904117 fatcat:gnrrsxanajfsvlg67ptjgwhwn4

A Fast Image Retrieval Method Designed for Network Big Data

Jiachen Yang, Bin Jiang, Baihua Li, Kun Tian, Zhihan Lv
2017 IEEE Transactions on Industrial Informatics  
In the content based image retrieval technology, color correlogram is more effective than the traditional color histogram.  ...  At present, there are two main types of image retrieval: text based image retrieval (TBIR) and content-based image retrieval (CBIR).  ... 
doi:10.1109/tii.2017.2657545 fatcat:l2db7yl3ljgl5e3blq6pr2hawu

Improved approach for proteochemometrics modeling: application to organic compound--amine G protein-coupled receptor interactions

M. Lapinsh, P. Prusis, S. Uhlen, J. E. S. Wikberg
2005 Bioinformatics  
Motivation: Proteochemometrics is a novel technology for the analysis of interactions of series of proteins with series of ligands.  ...  We have here customized it for analysis of large datasets and evaluated it for the modeling of the interaction of psychoactive organic amines with all the five known families of amine G protein-coupled  ...  The TIP-TIP auto-correlogram was generated using curvature-curvature products and cross-correlograms with MIFs were generated using curvature-energy products.  ... 
doi:10.1093/bioinformatics/bti703 pmid:16204343 fatcat:4fz7kjcod5d6td7mtved6pe2ai

Content-based image retrieval at the end of the early years

A.W.M. Smeulders, M. Worring, S. Santini, A. Gupta, R. Jain
2000 IEEE Transactions on Pattern Analysis and Machine Intelligence  
AbstractÐThe paper presents a review of 200 references in content-based image retrieval.  ...  The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap.  ...  Gevers from the University of Amsterdam, and A. Tam from Victoria University. The work was supported in part by the ICES MIA-project.  ... 
doi:10.1109/34.895972 fatcat:kxmbvvvlqzez7bzg7q42mp44be

Retrieval of 3D Objects Using Curvature Correlograms

G. Antini, S. Berretti, A. del Bimbo, P. Pala
2005 IEEE International Conference on Multimedia and Expo  
In this paper, as a solution to this requirement, we present a method relying on curvature correlograms to perform description and retrieval by content of 3D objects.  ...  In order to support effective retrieval by content of 3D objects and enable retrieval by object parts, information about local object structure should be combined with spatial information on object surface  ...  For this peculiarity, description of 3D objects based on correlograms of curvature proves to be very effective for the purpose of content based retrieval of 3D objects.  ... 
doi:10.1109/icme.2005.1521528 dblp:conf/icmcs/AntiniBBP05 fatcat:m3k7gpnujrfanenhovqve4a4c4

A Bayesian 3-D Search Engine Using Adaptive Views Clustering

Tarik Filali Ansary, Mohamed Daoudi, Jean-Philippe Vandeborre
2007 IEEE transactions on multimedia  
The goal of this method is to provide an "optimal" selection of 2-D views from a 3-D model, and a probabilistic Bayesian method for 3-D-model retrieval from these views.  ...  In this paper, we propose a method for three-dimensional (3-D)-model indexing based on two-dimensional (2-D) views, which we call adaptive views clustering (AVC).  ...  Pelleg from Carnegie Mellon University for the help he provided on -means.  ... 
doi:10.1109/tmm.2006.886359 fatcat:zv4hlem2anfovmgbpohkx6oori
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