2007
DOI: 10.1007/s10851-007-0052-3
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Perspective Geometry Based Single Image Camera Calibration

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Cited by 13 publications
(5 citation statements)
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“…Wu et al [7] adopted RANSAC algorithm along with vanishing points and lines. The latest work on this approach is by Avinash and Murali [8] who propose a method of containing a rectangular prism. The rectangular prism is used to generate two vanishing points.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Wu et al [7] adopted RANSAC algorithm along with vanishing points and lines. The latest work on this approach is by Avinash and Murali [8] who propose a method of containing a rectangular prism. The rectangular prism is used to generate two vanishing points.…”
Section: Related Workmentioning
confidence: 99%
“…Y=a + bx + cx 2 + dx 3 (8) where a is the initial intercept; b, c and d are the partial regression coefficients for variables x, x 2 and x 3 . The general principles of polynomial regression are the fitted model and is more reliable when it is built on large number of observations and do not extrapolate beyond the limits of observed values.…”
Section: Polynomial Regression Analysismentioning
confidence: 99%
“…Some recent examples were given by Kim and Kweon (2009), Zhao and Liu (2010) and Lu and Payandeh (2010). Further methods, which consider the geometrical properties of perspective, are based on the position of vanishing points of the image (Grammatikopulos et al, 2007;Avinash and Murali, 2008;He and Li, 2008). Solar shadows were also used by Kawasaki and Furukawa (2009), Junejo and Foroosh (2010) and Wu et al (2010) to correct distortion from images.…”
Section: Influence Of Photograph Distortionmentioning
confidence: 99%
“…Simplified intrinsic camera calibration and hand-eye calibration for robot vision was carried out by Malm and Heyden in 2003. Perspective Geometry based single image camera calibration technique has been discussed by Avinash andMurali in 2008. In 2006, Yanqing and Zhiyan came out with a flexible camera calibration method for computer visual 3d reconstruction system.…”
Section: Related Workmentioning
confidence: 99%