A New Algorithm for 3D Shape Recognition by Means of the 2D Point Distance Histogram Computer Analysis of Images and Patterns

A new algorithm for the recognition of three-dimensional objects is proposed in this paper. The algorithm is based on the rendering of several 2D projections of a 3D model, from various positions of the camera. Similarly to the proposition given in [1], the vertices of the dodecahedron enclosing the processed model contain the cameras for this purpose. The obtained projections are stored in bitmaps and the Point Distance Histogram for the description of the planar shapes extracted from them is applied. The obtained histograms represent a 3D model. The experiments performed have confirmed the high efficiency of the proposed algorithm. It outperformed five other algorithms for the representation of 3D shapes.