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3D objects classification and retrieval are a growing research topic with many application in different areas, such as robotics, virtual/augmented reality, medicine and physics. In robotics, 3D objects can serve as robust landmarks for pose estimation and localization, so robust 3D object recognition methods are very important tools in this field. Co-occurrence matrices were used for texture classification...
We propose a method of virtually flattening the surface of a clothing item to a two-dimensional plane using the geodesic distance over the surface of the item. If a clothing item is flatly opened on a table, the recognition of the item is much easier than that of the same item having an arbitrary shape. However, it is difficult and troublesome to physically flatten a clothing item from its arbitrary...
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