This paper presents a methodology for classification of 3D objects that can be useful to solve some problems in context-awareness, automatic surveillance and ambient assisted living.

This methodology uses light line images projected onto the object being studied. The use of structured light allows to get the three-dimensional object information. The images, that were captured by a CCD camera, were improved with tools of digital image processing and were characterized by three compactness measures. The classification was performed by some algorithms like Naive Bayes, Neural Nets and an associative classifier.