Abstract
The octree model, a hierarchical volume description of 3D objects, may be utilized to generate projected images from arbitrary viewing directions, thereby providing an efficient means of the data base for 3D object recognition. The feature points of an occluded object are matched to those of the model object shapes generated automatically from the octree model in viewing directions equally spaced in the 3D coordinates. The best matched viewing direction is calibrated by searching for the 4 pairs of corresponding feature points between the input and the model image projected along the estimated viewing direction. Then the input shape is recognized by matching to the projected shape. Experiment results show good performance of proposed algorithm.
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, Y.J., Park, Y.T. (2005). Occluded 3D Object Recognition Using Partial Shape and Octree Model. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_87
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DOI: https://doi.org/10.1007/11538059_87
Publisher Name: Springer, Berlin, Heidelberg
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