Summary
A new method is presented for 3-D curved object recognition by modeling the scenes and models as quadrics. The parameters of quadrics are converted into features which include Euler parameters accounting for the orientation of the surface. The matching process consists of finding a transformation of the model surfaces and devising a measure of consistency such that the error between the feature spaces of the model and the scene is a minimum.
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© 1991 Springer-Verlag Berlin Heidelberg
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Hanmandlu, M., Rangaiah, C., Biswas, K.K. (1991). Model Based 3-D Curved Object Recognition Using Quadrics. In: Dwivedi, S.N., Verma, A.K., Sneckenberger, J.E. (eds) CAD/CAM Robotics and Factories of the Future ’90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84338-9_31
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DOI: https://doi.org/10.1007/978-3-642-84338-9_31
Publisher Name: Springer, Berlin, Heidelberg
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