Article ID Journal Published Year Pages File Type
526071 Computer Vision and Image Understanding 2008 10 Pages PDF
Abstract
Recently several approaches for measuring the rectilinearity of shapes have been published [P.L. Rosin, J. Žunić, Measuring rectilinearity, Computer Vision and Image Understanding, 99(2) (2005) 175-188; J. Žunić, P.L. Rosin, Rectilinearity measurements for polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9) (2003) 1193-1200]. This paper generalises the R1 and R2 measures defined by Žunić and Rosin [J. Žunić, P.L. Rosin, Rectilinearity measurements for polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9) (2003) 1193-1200] to detect rectilinearity in two new situations: (1) the polygon has been skewed and (2) the shape contains two rectilinear components oriented differently to each other.
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
Authors
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