Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking

Soon Yong Park; Jaekyoung Moon

doi:10.1007/11612032_76

Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking

Soon Yong Park, Jaekyoung Moon

School of Electronics Engineering

Kyungpook National University

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

1 Scopus citations

Abstract

Image-based defocus calibration (IBDC) and automatic focus tracking techniques are presented. The proposed technique is based on a Spatial-Domain Convolution/Deconvolution method (STM) developed by Subbarao and Surya [1]. STM uses two blur parameters, σ and β, of a camera lens system to determine a lens step of the best focus. However calibration of these parameters requires internal camera parameters such as focal length, image distance, etc. Without knowing accurate internal parameters, STM is subject to fail to obtain accurate defocus and depth information. We propose image-based sigma and beta calibration techniques for accurate depth measurement. We also show that beta calibration can be applied for automatic focus tracking of a moving object.

Original language	English
Title of host publication	Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings
Pages	754-763
Number of pages	10
DOIs	https://doi.org/10.1007/11612032_76
State	Published - 2006
Event	7th Asian Conference on Computer Vision, ACCV 2006 - Hyderabad, India Duration: 13 Jan 2006 → 16 Jan 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3851 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th Asian Conference on Computer Vision, ACCV 2006
Country/Territory	India
City	Hyderabad
Period	13/01/06 → 16/01/06

Access to Document

10.1007/11612032_76

Cite this

Park, S. Y., & Moon, J. (2006). Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking. In Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings (pp. 754-763). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3851 LNCS). https://doi.org/10.1007/11612032_76

Park, Soon Yong ; Moon, Jaekyoung. / Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking. Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings. 2006. pp. 754-763 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{6e3a19bf1bed4104a3a79194d4ceb1ca,

title = "Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking",

abstract = "Image-based defocus calibration (IBDC) and automatic focus tracking techniques are presented. The proposed technique is based on a Spatial-Domain Convolution/Deconvolution method (STM) developed by Subbarao and Surya [1]. STM uses two blur parameters, σ and β, of a camera lens system to determine a lens step of the best focus. However calibration of these parameters requires internal camera parameters such as focal length, image distance, etc. Without knowing accurate internal parameters, STM is subject to fail to obtain accurate defocus and depth information. We propose image-based sigma and beta calibration techniques for accurate depth measurement. We also show that beta calibration can be applied for automatic focus tracking of a moving object.",

author = "Park, {Soon Yong} and Jaekyoung Moon",

year = "2006",

doi = "10.1007/11612032_76",

language = "English",

isbn = "3540312196",

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

pages = "754--763",

booktitle = "Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings",

note = "7th Asian Conference on Computer Vision, ACCV 2006 ; Conference date: 13-01-2006 Through 16-01-2006",

}

Park, SY & Moon, J 2006, Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking. in Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3851 LNCS, pp. 754-763, 7th Asian Conference on Computer Vision, ACCV 2006, Hyderabad, India, 13/01/06. https://doi.org/10.1007/11612032_76

Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking. / Park, Soon Yong; Moon, Jaekyoung.
Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings. 2006. p. 754-763 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3851 LNCS).

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

TY - GEN

T1 - Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking

AU - Park, Soon Yong

AU - Moon, Jaekyoung

PY - 2006

Y1 - 2006

N2 - Image-based defocus calibration (IBDC) and automatic focus tracking techniques are presented. The proposed technique is based on a Spatial-Domain Convolution/Deconvolution method (STM) developed by Subbarao and Surya [1]. STM uses two blur parameters, σ and β, of a camera lens system to determine a lens step of the best focus. However calibration of these parameters requires internal camera parameters such as focal length, image distance, etc. Without knowing accurate internal parameters, STM is subject to fail to obtain accurate defocus and depth information. We propose image-based sigma and beta calibration techniques for accurate depth measurement. We also show that beta calibration can be applied for automatic focus tracking of a moving object.

AB - Image-based defocus calibration (IBDC) and automatic focus tracking techniques are presented. The proposed technique is based on a Spatial-Domain Convolution/Deconvolution method (STM) developed by Subbarao and Surya [1]. STM uses two blur parameters, σ and β, of a camera lens system to determine a lens step of the best focus. However calibration of these parameters requires internal camera parameters such as focal length, image distance, etc. Without knowing accurate internal parameters, STM is subject to fail to obtain accurate defocus and depth information. We propose image-based sigma and beta calibration techniques for accurate depth measurement. We also show that beta calibration can be applied for automatic focus tracking of a moving object.

UR - http://www.scopus.com/inward/record.url?scp=33744951718&partnerID=8YFLogxK

U2 - 10.1007/11612032_76

DO - 10.1007/11612032_76

M3 - Conference contribution

AN - SCOPUS:33744951718

SN - 3540312196

SN - 9783540312192

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

SP - 754

EP - 763

BT - Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings

T2 - 7th Asian Conference on Computer Vision, ACCV 2006

Y2 - 13 January 2006 through 16 January 2006

ER -

Park SY, Moon J. Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking. In Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings. 2006. p. 754-763. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11612032_76

Image-based calibration of spatial domain depth-from-defocus and application to automatic focus tracking

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this