Object recognition and integration using surface signatures and neural networks
Ahmed El-Bialy · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
In this paper we present a new technique for 3D free-form object recognition using neural networks, and a novel surface representation scheme. This new scheme encodes the 3D surface information into a 2D image. This 2D image corresponds to a certain point on the surface. This image is invariant to both position and orientation and is unique for this point. Therefore, we called this image Surface Point Signature (SPS). Using specially designed neural networks, the SPS images are used in the matching and recognition of 3D objects in a 3D-scanned scene.