Abstract
In this paper we consider some questions related to the orientation of shapes. We introduce as a new shape feature shape orientability, i.e. the degree to which a shape has distinct (but not necessarily unique) orientation. A new method is described for measuring shape orientability, and has several desirable properties. In particular, unlike the standard moment based measure of elongation, it is able to differentiate between the varying levels of orientability of n-fold rotationally symmetric shapes.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cortadellas, J., Amat, J., de la Torre, F.: Robust Normalization of Silhouettes for Recognition Application. Patt. Rec. Lett. 25, 591–601 (2004)
Freeman, H., Shapira, R.: Determining the Minimum-Area Encasing Rectangle for an Arbitrary Closed Curve. Comm. of the ACM 18, 409–413 (1975)
Horn, B.K.P.: Robot Vision. MIT Press, Cambridge (1986)
Jain, R., Kasturi, R., Schunck, B.G.: Machine Vision. McGraw-Hill, New York (1995)
Klette, R., Žunić, J.: Digital approximation of moments of convex regions. Graphical Models and Image Processing 61, 274–298 (1999)
Palmer, S.E.: Vision Science: Photons to Phenomenology. MIT Press, Cambridge (1999)
Preparata, F.P., Shamos, M.I.: Computational Geometry. Springer, Heidelberg (1985)
Toussaint, G.T.: Solving geometric problems with the rotating calipers. In: Proc. IEEE MELECON 1983, pp. A10.02/1–4 (1983)
Tsai, W.H., Chou, S.L.: Detection of Generalized Principal Axes in Rotationally Symmetric Shapes. Patt. Rec. 24, 95–104 (1991)
Žunić, J., Rosin, P.L.: A New Convexity Measurement for Polygons. IEEE Trans. PAMI 26(7), 923–934 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Žunić, J., Rosin, P.L., Kopanja, L. (2006). Shape Orientability. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_2
Download citation
DOI: https://doi.org/10.1007/11612704_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31244-4
Online ISBN: 978-3-540-32432-4
eBook Packages: Computer ScienceComputer Science (R0)