Abstract
This paper presents a 3D object recognition method aimed to industrial applications. The proposed method compares any object represented as a set of 3D polygonal surfaces through their corresponding normal map, a bidimensional array which stores local curvature (mesh normals) as the pixels RGB components of a color image. The recognition approach, based on the computation of a difference map resulting from the comparison of normal maps, is simple yet fast and accurate. First results show the effectiveness of the method on a database of 3D models of sanitary equipments.
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Bornaghi, C., Ferrari, B., Damiani, E. (2009). Fast and low cost 3d object recognition. In: Damiani, E., Jeong, J., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia Systems and Services - 2. Studies in Computational Intelligence, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02937-0_36
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DOI: https://doi.org/10.1007/978-3-642-02937-0_36
Publisher Name: Springer, Berlin, Heidelberg
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