Modeling the Variation of the Intrinsic Parameters of an Automatic Zoom Camera System using Moving Least-Squares

Sarkis, Michel; Senft, C.T.; Diepold, Klaus

doi:10.1109/coase.2007.4341832

Cited by 6 publications

(5 citation statements)

References 13 publications

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“…And a large number of studies have already focused on modeling the variations of intrinsic parameters associated with lens settings (Agapito et al, 2001;Alvarez et al, 2012;Burner, 1995;Fraser and Al-Ajlouni, 2006;Fraser et al, 2012;Kim et al, 2010;Li and Lavest, 1996;Sanz-Ablanedo et al, 2012;Sarkis et al, 2007Sarkis et al, , 2009Tarabanis et al, 1992;Wiley and Wong, 1995;Willson, 1994;Wu et al, 2013). On the basis of existing studies, an extended Brown self-calibration model is used in our calibration method:…”

Section: Empirical Zoom/focus Modelsmentioning

confidence: 99%

Zoom lens calibration with zoom- and focus-related intrinsic parameters applied to bundle adjustment

Zheng

Huang

2015

ISPRS Journal of Photogrammetry and Remote Sensing

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Section: Empirical Zoom/focus Modelsmentioning

confidence: 99%

Zoom lens calibration with zoom- and focus-related intrinsic parameters applied to bundle adjustment

Zheng

Huang

2015

ISPRS Journal of Photogrammetry and Remote Sensing

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“…Sarkis et al used the moving least-squares (MLS) technique to model the intrinsic parameters' variation of zoom lens camera. 17,18 MLS was used to generate the surfaces of the camera's intrinsic parameters as a function of focus and zoom. The obtained surfaces then were used to estimate the intrinsic parameters in any focal length.…”

Section: Introductionmentioning

confidence: 99%

Automatic radial distortion correction in zoom lens video camera

Kim

Shin

et al. 2010

J. Electron. Imaging

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We present a novel method for automatically correcting the radial lens distortion in a zoom lens video camera system. We first define the zoom lens distortion model using an inherent characteristic of the zoom lens. Next, we sample some video frames with different focal lengths and estimate their radial distortion parameters and focal lengths. We then optimize the zoom lens distortion model with preestimated parameter pairs using the least-squares method. For more robust optimization, we divide the sample images into two groups according to distortion types (i.e., barrel and pincushion) and then separately optimize the zoom lens distortion models with respect to divided groups. Our results show that the zoom lens distortion model can accurately represent the radial distortion of a zoom lens. © 2010 SPIE and IS&T.

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“…We expect the proposed focus calibration technique will reduce the number of patterns required for calibration in such a scenario. Scattered data interpolation, or another technique to model the parameters as a function of focus and zoom 4,22,23 can be used for the completion of the calibration results.…”

Section: Experiments With Real Lens and Cameramentioning

confidence: 99%

“…Less than 150 times of manual image captures were enough to calibrate a zoom lens, whereas more than 3000 images were manually captured to calibrate 80 lens settings in Ref. 23.…”

Section: Experiments With Real Lens and Cameramentioning

confidence: 99%

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Semiautomatic zoom lens calibration based on the camera's rotation

Sohn

2011

J. Electron. Imaging

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Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 05/15/2015 Terms of Use: http://spiedl.org/terms Abstract. A zoom lens calibration consists of hundreds of monofocal calibrations, each of which takes considerable time and effort with conventional methods. We present a practical calibration method that consists of two separate procedures-zoom calibration and focus calibration. The zoom calibration regards each zoom setting as a monofocal camera, and takes advantage of both the pattern-based and the rotation-based approaches. A rotation sensor is utilized to overcome the ill-posedness caused by the many parameter dimensions. The zoom calibration is followed by the focus calibration process, which is fully automatic and available even at a defocused setting where the pattern detection is not possible. The focus calibration drastically reduces the number of required manual calibrations, from N 2 to N times. The experimental results are compared with the lens data sheets provided by the lens manufacturer. The overall calibration procedure is very quick compared to the conventional methods, owing to the proposed zoom and focus calibrations, and shows small enough parameter errors in the effective zoom-focus range. © 2011 SPIE and IS&T.

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Modeling the Variation of the Intrinsic Parameters of an Automatic Zoom Camera System using Moving Least-Squares

Cited by 6 publications

References 13 publications

Zoom lens calibration with zoom- and focus-related intrinsic parameters applied to bundle adjustment

Zoom lens calibration with zoom- and focus-related intrinsic parameters applied to bundle adjustment

Automatic radial distortion correction in zoom lens video camera

Semiautomatic zoom lens calibration based on the camera's rotation

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