26 August 1999 Object recognition and integration using surface signatures and neural networks
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmed M. Elbialy, Ahmed M. Elbialy, "Object recognition and integration using surface signatures and neural networks", Proc. SPIE 3839, Sensor Fusion and Decentralized Control in Robotic Systems II, (26 August 1999); doi: 10.1117/12.360347; https://doi.org/10.1117/12.360347


Back to Top