2007 IEEE International Conference on Image Processing 2007
DOI: 10.1109/icip.2007.4379856
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A Novel Technique to Model the Variation of the Intrinsic Parameters of an Automatic Zoom Camera using Adaptive Delaunay Meshes Over Moving Least-Squares Surfaces

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Cited by 2 publications
(5 citation statements)
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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%
“…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%
“…22 and 23, which show sharp fluctuations in the high zoom settings. The unpredictable fluctuations in the principal point estimation in Ref.…”
Section: Experiments With Real Lens and Cameramentioning
confidence: 95%
“…The unpredictable fluctuations in the principal point estimation in Ref. 22 and 23, seem to be due to lack of constraints at the telephoto zoom settings, which is inevitable in the homography-based calibration methods. 21,24 On the other hand, a more robust technique with a 3D-equivalent calibration object was used in Ref.…”
Section: Experiments With Real Lens and Cameramentioning
confidence: 98%
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