Opto-electronic implementation of a feature space trajectory classifier for three-dimensionnal object recognition

摘要

Digital simulations have previously shown that automatic recognition of out of plane rotated and scaled objects can be performed by wedge compression of the power spectrum and feature space trajectory algorithms. We implemented this recognition sysem optically. We used an opto-electro-mechanic angular sampling of the power spectrum to perform the feature extraction. Preliminary results using this system are presented.