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View-Clustering and Manifold Learning for Sketch-Based 3D Model Retrieval
2013
2013 International Conference on Cyberworlds
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Retrieval of 3D models by using 2D sketch query has recently become an active area of research. However, retrieval accuracy of the modality is still much lower than using a 3D model example as query. ...
In this paper, we propose an algorithm that employs manifold-learning based dimension reduction for sketch-based 3D model retrieval. ...
For sketch-based 3D model retrieval, M models in a database and N v views per 3D model means training set size v M N . ...
doi:10.1109/cw.2013.70
dblp:conf/cw/KuritaO13
fatcat:2x4ybij26rgpnoxla5chhsftue
Individual Retrieval Based on Oral Cavity Point Cloud Data and Correntropy-Based Registration Algorithm
2020
IET Image Processing
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Experimental results demonstrate the proposed retrieval three-dimensional model algorithm can be successfully searched under different model data, which can help forensics use the characteristics of biological ...
Since the three-dimensional oral cavity data contains a large amount of noise and outliers, it may lead to a decrease in registration accuracy, which affects the accuracy of retrieval rate. ...
retrieval of three-dimensional oral cavity shape. ...
doi:10.1049/iet-ipr.2019.1420
fatcat:c2i3nn3rvreulbugpktgpq5tna
A Proof-of-Concept Algorithm for the Retrieval of Total Column Amount of Trace Gases in a Multi-Dimensional Atmosphere
2021
Remote Sensing
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An algorithm for the retrieval of total column amount of trace gases in a multi-dimensional atmosphere is designed. ...
The algorithm is used to retrieve the total column amount of nitrogen for two- and three-dimensional cloudy scenes. ...
In this regard, we may try to retrieve the total column amount by using an one-dimensional radiative transfer model for a cloud-free atmosphere. ...
doi:10.3390/rs13020270
fatcat:h6dl7v5sznddfaqkjaazlvxry4
Local geometry adaptive manifold re-ranking for shape-based 3D object retrieval
2012
Proceedings of the 20th ACM international conference on Multimedia - MM '12
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This paper proposes an improvement to Manifold Ranking algorithm used for search results ranking in the context of shapebased 3D model retrieval. ...
Manifold Ranking algorithm by Zhou et al estimates, given a set of high-dimensional feature vectors, a lower-dimensional manifold on which the features lie. ...
Query expansion window size w and retrieval accuracy (b=SHREC2006, f=BF-DSIFT, d=L1)
be the set of n-dimensional features in n . ...
doi:10.1145/2393347.2396342
dblp:conf/mm/OhbuchiK12
fatcat:k344ftk4knaedfedse7uy7pqtm
Locally Embedded Linear Subspaces for Efficient Video Indexing and Retrieval
2006
2006 IEEE International Conference on Multimedia and Expo
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Then an appropriate lower dimensional subspace is identified for video trace indexing. ...
Simulation results demonstrated the high accuracy and very fast retrieval speed for the proposed solution. ...
model can be built to map an n-frame video sequence into an n-point trace in some d-dimensional PCA space, preserving sufficient information in trace geometry for accurate retrieval. ...
doi:10.1109/icme.2006.262893
dblp:conf/icmcs/LiGK06
fatcat:gfc2ud2e55egxc6jxe6d2x5dje
Semantic-Based Publish/Subscribe for M2M
2014
2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
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First, we discuss an efficient way to deal with representation schemes diversity and propose a d-dimensional context organization model. ...
Our evaluation shows that d-dimensional organization model outperforms our previous solution in both speed and space requirements. ...
C (9) N ≥ K × T 1 + T − D (10) A d-dimensional model has a finite number of dimensions, usually 2 or 3. ...
doi:10.1109/cyberc.2014.53
dblp:conf/cyberc/AntunesGA14
fatcat:bfa7h7yexvhzzl35zmyrnroqdm
Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space
[article]
2014
arXiv
pre-print
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We formulate the retrieval as a "supermodelling" problem, of sequentially learning a model of the set of posterior distributions, represented as sets of MCMC samples, and suggest the use of Particle-Learning-based ...
The relevance measure for retrieval is derived from the supermodel through the mixture representation. ...
Our final density estimate or supermodel will be an average over all N particles. ...
arXiv:1310.2125v2
fatcat:w7pfaopljze5tnn5afmgccb6om
Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology
2011
Medical Imaging 2011: Image Processing
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ESDs are computed by: (a) fitting shape models to objects of interest, (b) pairwise comparison between shape models, and (c) a nonlinear dimensionality reduction scheme to extract a concise set of morphological ...
descriptors in a reduced dimensional embedding space. ...
work we are especially interested in dimensionality reduction techniques that can take a high dimensional representation of shape as modeled by MBDs and return an accurate low dimensional representation ...
doi:10.1117/12.878428
dblp:conf/miip/SparksM11
fatcat:u4cvyj3mxjfnlbopmqidh7enpm
A Bayesian approach for 3D models retrieval based on characteristic views
2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
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The ability to characterize and easily retrieve models are a key issues for the designers and the final users. ...
In this frame, two main approaches exist: search by example of a three-dimensional model, and search by a 2D view. ...
The recall and precision are defined as follow: Recall = N/Q, Precision = N/A With N the number of relevant models retrieved in the top A retrievals. ...
doi:10.1109/icpr.2004.1334673
dblp:conf/icpr/AnsaryVD04
fatcat:sp7sacqgr5fzlh2z6o3rl5adha
Efficient manifold learning for 3D model retrieval by using clustering-based training sample reduction
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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While effective in improving retrieval accuracy, these algorithms have high computational cost that depends on feature dimensionality d and number of training samples N. ...
Index Terms-Content-based 3D model retrieval, distance metric learning, manifold learning, randomized tree clustering. ...
The retrieval algorithm stores, in the database, the (projected) d-dimensional feature together with the corresponding 3D model for later retrieval. ...
doi:10.1109/icassp.2012.6288385
dblp:conf/icassp/EndohYO12
fatcat:p2gebqo3bnfuvcotewyzikfejm
A Novel Sketch-Based 3D Model Retrieval Approach by Integrating PCA-DAISY Descriptor and Fisher Coding Algorithm
2017
International Journal of Innovative Computing, Information and Control
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Since the local feature-based methods recognize interior content and utilize the rich information of the sketches and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm ...
The Principal Component Analysis (PCA) technique is applied to reduce the dimensionality of DAISY descriptor, which is not only useful in reducing the dimensionality, but also beneficial in reducing the ...
The most popular way for retrieving 3D models is example-based paradigm, where the user provides an existing 3D model as query input and the retrieval system [1] can return similar 3D models from the ...
doi:10.24507/ijicic.13.02.411
fatcat:3hldhd6htrh45d73aqhqry42bu
Retrieval of high-dimensional visual data: current state, trends and challenges ahead
2013
Multimedia tools and applications
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Opportunities for future applications conclude the article. 3D or higher-dimensional visual information retrieval is expected to grow quickly in the coming years and in this respect this article can serve ...
First, free text information of documents from varying sources became accessible in addition to structured data in databases, initially for exact search and then for more probabilistic models. ...
For example, let the query item Q be represented by the N-dimensional feature vector f Q = ( f Q 1 , f Q 2 , . . . , f Q N ) and an item i in the dataset be represented by the feature vector f i = ( f ...
doi:10.1007/s11042-012-1327-2
fatcat:nmhj5uwedbcedpzelg2ptqkqce
Assessment of global TEC mapping using a three-dimensional electron density model
1999
Journal of Atmospheric and Solar-Terrestrial Physics
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However, the global structure of the vertical TEC retrievals we analyzed did not improve using three dimensional modeling. ...
Using actual data from an equatorial site at Cocos Islands (96.8E, 12.2S), three slab modeling improved estimates of slant TEC by a factor of 2 for elevation angles between 10 and 20 degrees (9 vs 4.4 ...
Ignoring an overall bias, the retrievals are not improved and may even be worse than the shell model in regions far from receivers. ...
doi:10.1016/s1364-6826(99)00053-x
fatcat:oou25kbk25b5xmgpjae47wbxai
Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance
2011
2011 International Conference on Computer Vision
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Modeling image similarity for browsing and searching in voluminous image databases is a challenging task of nearly all content-based image retrieval systems. ...
Although several of those approximations have been successfully applied to model image similarity, their applicability to mixture models based on high-dimensional feature descriptors is questionable. ...
Given an image I a , its Gaussian mixture model g a = n i=1 w a i · N µ a i ,Σ a i can be computed as follows: first, the image features are extracted and represented in the corresponding feature space ...
doi:10.1109/iccv.2011.6126440
dblp:conf/iccv/BeecksIKS11
fatcat:yxux424fanakdpbfq5mlb37eke
Indexing shapes in image databases using the centroid–radii model
2000
Data & Knowledge Engineering
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This facilitates multi-resolution and similarity retrievals. Furthermore, using the model, the shape of an object can be transformed into a point in a high-dimensional data space. ...
We can thus employ any existing high-dimensional point index as an index to speed up the retrieval of images. ...
Using the model, the shape of an object can be mapped into points in a high-dimensional data space. ...
doi:10.1016/s0169-023x(99)00039-7
fatcat:hqsghqvg6jgmjiafzw6ougefxa
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