Recognition and location of real objects using eigenimages and a neural network classifier
María Asunción Vicente, Óscar Reinoso, Carlos Pérez, César Fernández, José María Sabater-Navarro · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
A representation using eigenimages that achieves in two stages identify the object and locate its pose is addressed.In this paper we demonstrate how a mixture of two approaches based on eigenspaces with some little modifications resolve the problem of identification and the location of the object. In the first stage we recognize the object by means of PCA* (Principal Component Analysis) method combined with a neural network classifier, and in the second step, the object’s pose is obtained using a modification of typical PCA (we name as PCA2 method). We present the results obtained using a database made with 25 real objects.