Object recognition and integration using surface signatures and neural networks

Ahmed M. Elbialy

doi:10.1117/12.360347

26 August 1999 Object recognition and integration using surface signatures and neural networks

Ahmed M. Elbialy

Proceedings Volume 3839, Sensor Fusion and Decentralized Control in Robotic Systems II; (1999) https://doi.org/10.1117/12.360347
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.360347

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