Markerless tracking algorithm based on 3D model for augmented reality system

Peng Yao; Can Chen; Dongdong Weng

doi:10.1007/978-3-642-36669-7_91

Markerless tracking algorithm based on 3D model for augmented reality system

Peng Yao, Can Chen, Dongdong Weng

School of Optics and Photonics

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

Abstract

We present a markerless augmented reality(AR) system based on 3D model. First, the feature of environment was extracted using SIFT operator, then the method of stratified reconstruction was used to reconstruct the 3D scene, after that we constructed the database of prior knowledge using the KDTree. Finally, we tracked the 3D model based on these prior knowledge via feature matching and pose estimation in real time. Experimental results demonstrated that this method is sufficient for markerless tracking registration. With the prior knowledge, key frame selection problem can be avoided and the running speed is also increased.

Original language	English
Title of host publication	Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers
Pages	751-758
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-36669-7_91
Publication status	Published - 2013
Event	3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012 - Nanjing, China Duration: 15 Oct 2012 → 17 Oct 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7751 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012
Country/Territory	China
City	Nanjing
Period	15/10/12 → 17/10/12

Access to Document

10.1007/978-3-642-36669-7_91

Cite this

Yao, P., Chen, C., & Weng, D. (2013). Markerless tracking algorithm based on 3D model for augmented reality system. In Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers (pp. 751-758). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7751 LNCS). https://doi.org/10.1007/978-3-642-36669-7_91

Yao, Peng ; Chen, Can ; Weng, Dongdong. / Markerless tracking algorithm based on 3D model for augmented reality system. Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers. 2013. pp. 751-758 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1725b4a0609f4903a9c160ac00f4fd1c,

title = "Markerless tracking algorithm based on 3D model for augmented reality system",

abstract = "We present a markerless augmented reality(AR) system based on 3D model. First, the feature of environment was extracted using SIFT operator, then the method of stratified reconstruction was used to reconstruct the 3D scene, after that we constructed the database of prior knowledge using the KDTree. Finally, we tracked the 3D model based on these prior knowledge via feature matching and pose estimation in real time. Experimental results demonstrated that this method is sufficient for markerless tracking registration. With the prior knowledge, key frame selection problem can be avoided and the running speed is also increased.",

author = "Peng Yao and Can Chen and Dongdong Weng",

year = "2013",

doi = "10.1007/978-3-642-36669-7_91",

language = "English",

isbn = "9783642366680",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "751--758",

booktitle = "Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers",

note = "3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012 ; Conference date: 15-10-2012 Through 17-10-2012",

}

Yao, P, Chen, C & Weng, D 2013, Markerless tracking algorithm based on 3D model for augmented reality system. in Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7751 LNCS, pp. 751-758, 3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012, Nanjing, China, 15/10/12. https://doi.org/10.1007/978-3-642-36669-7_91

Markerless tracking algorithm based on 3D model for augmented reality system. / Yao, Peng; Chen, Can; Weng, Dongdong.
Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers. 2013. p. 751-758 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7751 LNCS).

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

TY - GEN

T1 - Markerless tracking algorithm based on 3D model for augmented reality system

AU - Yao, Peng

AU - Chen, Can

AU - Weng, Dongdong

PY - 2013

Y1 - 2013

N2 - We present a markerless augmented reality(AR) system based on 3D model. First, the feature of environment was extracted using SIFT operator, then the method of stratified reconstruction was used to reconstruct the 3D scene, after that we constructed the database of prior knowledge using the KDTree. Finally, we tracked the 3D model based on these prior knowledge via feature matching and pose estimation in real time. Experimental results demonstrated that this method is sufficient for markerless tracking registration. With the prior knowledge, key frame selection problem can be avoided and the running speed is also increased.

AB - We present a markerless augmented reality(AR) system based on 3D model. First, the feature of environment was extracted using SIFT operator, then the method of stratified reconstruction was used to reconstruct the 3D scene, after that we constructed the database of prior knowledge using the KDTree. Finally, we tracked the 3D model based on these prior knowledge via feature matching and pose estimation in real time. Experimental results demonstrated that this method is sufficient for markerless tracking registration. With the prior knowledge, key frame selection problem can be avoided and the running speed is also increased.

UR - http://www.scopus.com/inward/record.url?scp=84892903129&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-36669-7_91

DO - 10.1007/978-3-642-36669-7_91

M3 - Conference contribution

AN - SCOPUS:84892903129

SN - 9783642366680

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

SP - 751

EP - 758

BT - Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers

T2 - 3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012

Y2 - 15 October 2012 through 17 October 2012

ER -

Yao P, Chen C, Weng D. Markerless tracking algorithm based on 3D model for augmented reality system. In Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers. 2013. p. 751-758. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-36669-7_91

Markerless tracking algorithm based on 3D model for augmented reality system

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this