The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval

László Czúni; Metwally Rashad

doi:10.1007/978-3-319-70742-6_3

The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval

László Czúni
, Metwally Rashad

University of Pannonia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In this paper we introduce a new 3D object retrieval model inspired by some well-known mechanisms of the human brain: viewer-centric recognition, Markovian estimations, and fusion of information originating from the visual and vestibular subsystems. We have built a Hidden Markov Model (HMM) framework where 2D object views correspond to states, observations are coded by compact edge and color sensitive descriptors, and orientation sensors are used to secure temporal inference by estimating transition probabilities between states. Our first evaluation results, over a database of 100 3D objects, are very encouraging: the fast and memory efficient new method outperformed previous models.

Original language	English
Title of host publication	New Trends in Image Analysis and Processing – ICIAP 2017 - ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Revised Selected Papers
Editors	Sebastiano Battiato, Giovanni Maria Farinella, Marco Leo, Giovanni Gallo
Publisher	Springer Verlag
Pages	26-36
Number of pages	11
ISBN (Print)	9783319707419
DOIs	https://doi.org/10.1007/978-3-319-70742-6_3
State	Published - 2017
Externally published	Yes
Event	19th International Conference on Image Analysis and Processing, ICIAP 2017 - Catania, Italy Duration: 5 Jun 2017 → 9 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10590 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Image Analysis and Processing, ICIAP 2017
Country/Territory	Italy
City	Catania
Period	5/06/17 → 9/06/17

Keywords

HMM
Information fusion
Object retrieval
Viewer-centric models

Access to Document

10.1007/978-3-319-70742-6_3

Cite this

Czúni, L., & Rashad, M. (2017). The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval. In S. Battiato, G. M. Farinella, M. Leo, & G. Gallo (Eds.), New Trends in Image Analysis and Processing – ICIAP 2017 - ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Revised Selected Papers (pp. 26-36). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10590 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-70742-6_3

Czúni, László ; Rashad, Metwally. / The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval. New Trends in Image Analysis and Processing – ICIAP 2017 - ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Revised Selected Papers. editor / Sebastiano Battiato ; Giovanni Maria Farinella ; Marco Leo ; Giovanni Gallo. Springer Verlag, 2017. pp. 26-36 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper we introduce a new 3D object retrieval model inspired by some well-known mechanisms of the human brain: viewer-centric recognition, Markovian estimations, and fusion of information originating from the visual and vestibular subsystems. We have built a Hidden Markov Model (HMM) framework where 2D object views correspond to states, observations are coded by compact edge and color sensitive descriptors, and orientation sensors are used to secure temporal inference by estimating transition probabilities between states. Our first evaluation results, over a database of 100 3D objects, are very encouraging: the fast and memory efficient new method outperformed previous models.",

keywords = "HMM, Information fusion, Object retrieval, Viewer-centric models",

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Czúni, L & Rashad, M 2017, The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval. in S Battiato, GM Farinella, M Leo & G Gallo (eds), New Trends in Image Analysis and Processing – ICIAP 2017 - ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10590 LNCS, Springer Verlag, pp. 26-36, 19th International Conference on Image Analysis and Processing, ICIAP 2017, Catania, Italy, 5/06/17. https://doi.org/10.1007/978-3-319-70742-6_3

The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval. / Czúni, László; Rashad, Metwally.
New Trends in Image Analysis and Processing – ICIAP 2017 - ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Revised Selected Papers. ed. / Sebastiano Battiato; Giovanni Maria Farinella; Marco Leo; Giovanni Gallo. Springer Verlag, 2017. p. 26-36 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10590 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval

AU - Czúni, László

AU - Rashad, Metwally

PY - 2017

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N2 - In this paper we introduce a new 3D object retrieval model inspired by some well-known mechanisms of the human brain: viewer-centric recognition, Markovian estimations, and fusion of information originating from the visual and vestibular subsystems. We have built a Hidden Markov Model (HMM) framework where 2D object views correspond to states, observations are coded by compact edge and color sensitive descriptors, and orientation sensors are used to secure temporal inference by estimating transition probabilities between states. Our first evaluation results, over a database of 100 3D objects, are very encouraging: the fast and memory efficient new method outperformed previous models.

AB - In this paper we introduce a new 3D object retrieval model inspired by some well-known mechanisms of the human brain: viewer-centric recognition, Markovian estimations, and fusion of information originating from the visual and vestibular subsystems. We have built a Hidden Markov Model (HMM) framework where 2D object views correspond to states, observations are coded by compact edge and color sensitive descriptors, and orientation sensors are used to secure temporal inference by estimating transition probabilities between states. Our first evaluation results, over a database of 100 3D objects, are very encouraging: the fast and memory efficient new method outperformed previous models.

KW - HMM

KW - Information fusion

KW - Object retrieval

KW - Viewer-centric models

UR - https://www.scopus.com/pages/publications/85041104729

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DO - 10.1007/978-3-319-70742-6_3

M3 - Conference contribution

AN - SCOPUS:85041104729

SN - 9783319707419

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 26

EP - 36

BT - New Trends in Image Analysis and Processing – ICIAP 2017 - ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Revised Selected Papers

A2 - Battiato, Sebastiano

A2 - Farinella, Giovanni Maria

A2 - Leo, Marco

A2 - Gallo, Giovanni

PB - Springer Verlag

T2 - 19th International Conference on Image Analysis and Processing, ICIAP 2017

Y2 - 5 June 2017 through 9 June 2017

ER -

Czúni L, Rashad M. The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval. In Battiato S, Farinella GM, Leo M, Gallo G, editors, New Trends in Image Analysis and Processing – ICIAP 2017 - ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Revised Selected Papers. Springer Verlag. 2017. p. 26-36. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-70742-6_3

The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval

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Keywords

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