Computer Vision: A Review on 3D Object Recognition

Yeray Mezquita; Alfonso González-Briones; Patricia Wolf; Javier Prieto

doi:10.1007/978-3-031-23210-7_11

Computer Vision: A Review on 3D Object Recognition

Yeray Mezquita^*, Alfonso González-Briones, Patricia Wolf, Javier Prieto

^*Corresponding author for this work

University of Salamanca

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

Abstract

Three-dimensional (3D) object recognition is one of the fundamental tasks in computer vision applications, paving the way for all other image understanding operations. Although the potential of 3D object recognition is enormous, the information required for the spatial processing of the information means that the practical applications that end up being developed are very limited by the computational cost of the algorithms and frameworks used. This manuscript seeks to collect information on the most current review works in the literature. Thanks to this, researchers and developers who start working in the field of 3D object identification can find a compilation of the most important points to understand the current context in this field.

Original language	English
Title of host publication	Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference
Editors	José Manuel Machado, Pablo Chamoso, Guillermo Hernández, Grzegorz Bocewicz, Roussanka Loukanova, Roussanka Loukanova, Esteban Jove, Angel Martin del Rey, Michela Ricca
Place of Publication	Cham
Publisher	Springer
Publication date	Feb 2023
Pages	117-125
ISBN (Print)	9783031232091
ISBN (Electronic)	9783031232107
DOIs	https://doi.org/10.1007/978-3-031-23210-7_11
Publication status	Published - Feb 2023

Series	Lecture Notes in Networks and Systems
Volume	585
ISSN	2367-3370

Keywords

3D object recognition
Computer vision
Review

Documents & Links

10.1007/978-3-031-23210-7_11

Cite this

Mezquita, Y., González-Briones, A., Wolf, P., & Prieto, J. (2023). Computer Vision: A Review on 3D Object Recognition. In J. M. Machado, P. Chamoso, G. Hernández, G. Bocewicz, R. Loukanova, R. Loukanova, E. Jove, A. M. del Rey, & M. Ricca (Eds.), Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference (pp. 117-125). Springer. https://doi.org/10.1007/978-3-031-23210-7_11

Mezquita, Yeray ; González-Briones, Alfonso ; Wolf, Patricia et al. / Computer Vision: A Review on 3D Object Recognition. Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference. editor / José Manuel Machado ; Pablo Chamoso ; Guillermo Hernández ; Grzegorz Bocewicz ; Roussanka Loukanova ; Roussanka Loukanova ; Esteban Jove ; Angel Martin del Rey ; Michela Ricca. Cham : Springer, 2023. pp. 117-125 (Lecture Notes in Networks and Systems, Vol. 585).

@inproceedings{b773e61e0323459d9d2326bf43079d7d,

title = "Computer Vision: A Review on 3D Object Recognition",

abstract = "Three-dimensional (3D) object recognition is one of the fundamental tasks in computer vision applications, paving the way for all other image understanding operations. Although the potential of 3D object recognition is enormous, the information required for the spatial processing of the information means that the practical applications that end up being developed are very limited by the computational cost of the algorithms and frameworks used. This manuscript seeks to collect information on the most current review works in the literature. Thanks to this, researchers and developers who start working in the field of 3D object identification can find a compilation of the most important points to understand the current context in this field.",

keywords = "3D object recognition, Computer vision, Review",

author = "Yeray Mezquita and Alfonso Gonz{\'a}lez-Briones and Patricia Wolf and Javier Prieto",

year = "2023",

month = feb,

doi = "10.1007/978-3-031-23210-7_11",

language = "English",

isbn = "9783031232091",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer",

pages = "117--125",

editor = "Machado, {Jos{\'e} Manuel} and Pablo Chamoso and Guillermo Hern{\'a}ndez and Grzegorz Bocewicz and Roussanka Loukanova and Roussanka Loukanova and Esteban Jove and {del Rey}, {Angel Martin} and Michela Ricca",

booktitle = "Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference",

address = "Germany",

}

Mezquita, Y, González-Briones, A, Wolf, P & Prieto, J 2023, Computer Vision: A Review on 3D Object Recognition. in JM Machado, P Chamoso, G Hernández, G Bocewicz, R Loukanova, R Loukanova, E Jove, AM del Rey & M Ricca (eds), Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference. Springer, Cham, Lecture Notes in Networks and Systems, vol. 585, pp. 117-125. https://doi.org/10.1007/978-3-031-23210-7_11

Computer Vision: A Review on 3D Object Recognition. / Mezquita, Yeray; González-Briones, Alfonso; Wolf, Patricia et al.
Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference. ed. / José Manuel Machado; Pablo Chamoso; Guillermo Hernández; Grzegorz Bocewicz; Roussanka Loukanova; Roussanka Loukanova; Esteban Jove; Angel Martin del Rey; Michela Ricca. Cham: Springer, 2023. p. 117-125 (Lecture Notes in Networks and Systems, Vol. 585).

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

TY - GEN

T1 - Computer Vision: A Review on 3D Object Recognition

AU - Mezquita, Yeray

AU - González-Briones, Alfonso

AU - Wolf, Patricia

AU - Prieto, Javier

PY - 2023/2

Y1 - 2023/2

N2 - Three-dimensional (3D) object recognition is one of the fundamental tasks in computer vision applications, paving the way for all other image understanding operations. Although the potential of 3D object recognition is enormous, the information required for the spatial processing of the information means that the practical applications that end up being developed are very limited by the computational cost of the algorithms and frameworks used. This manuscript seeks to collect information on the most current review works in the literature. Thanks to this, researchers and developers who start working in the field of 3D object identification can find a compilation of the most important points to understand the current context in this field.

AB - Three-dimensional (3D) object recognition is one of the fundamental tasks in computer vision applications, paving the way for all other image understanding operations. Although the potential of 3D object recognition is enormous, the information required for the spatial processing of the information means that the practical applications that end up being developed are very limited by the computational cost of the algorithms and frameworks used. This manuscript seeks to collect information on the most current review works in the literature. Thanks to this, researchers and developers who start working in the field of 3D object identification can find a compilation of the most important points to understand the current context in this field.

KW - 3D object recognition

KW - Computer vision

KW - Review

U2 - 10.1007/978-3-031-23210-7_11

DO - 10.1007/978-3-031-23210-7_11

M3 - Article in proceedings

SN - 9783031232091

T3 - Lecture Notes in Networks and Systems

SP - 117

EP - 125

BT - Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference

A2 - Machado, José Manuel

A2 - Chamoso, Pablo

A2 - Hernández, Guillermo

A2 - Bocewicz, Grzegorz

A2 - Loukanova, Roussanka

A2 - Jove, Esteban

A2 - del Rey, Angel Martin

A2 - Ricca, Michela

PB - Springer

CY - Cham

ER -

Mezquita Y, González-Briones A, Wolf P, Prieto J. Computer Vision: A Review on 3D Object Recognition. In Machado JM, Chamoso P, Hernández G, Bocewicz G, Loukanova R, Loukanova R, Jove E, del Rey AM, Ricca M, editors, Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference. Cham: Springer. 2023. p. 117-125. (Lecture Notes in Networks and Systems, Vol. 585). doi: 10.1007/978-3-031-23210-7_11

Computer Vision: A Review on 3D Object Recognition

Abstract

Keywords

Documents & Links

Fingerprint

Cite this