A.: A new descriptor for 2d depth image indexing and 3D model retrieval

We present here a new descriptor for depth images adapted to 2D/3D model matching and retrieving. We propose a rep-resentation of a 3D model by 20 depth images rendered from the vertices of a regular dodecahedron. One depth image of a 3Dmodel is associated to a set of depth lines which will be af-terward transformed into sequences. The depth sequence in-formation provides a more accurate description of 3D shape boundaries than using other 2D shape descriptors. Similar-ity computing is performed when dynamic programming dis-tance (DPD) is used to compare the depth line descriptors. The DPD leads to an accurate matching of sequences even in the presence of local shifting on the shape. Results on a large 3D database show efficiency of our 2D/3D approach. Index Terms — Depth image indexing, depth sequence, 2D/3D description, Content-based 3D model retrieval 1