  We propose Fit4CAD, a benchmark for the evaluation and comparison of methods
for fitting simple geometric primitives in point clouds representing CAD
objects. This benchmark is meant to help both method developers and those who
want to identify the best performing tools. The Fit4CAD dataset is composed by
225 high quality point clouds, each of which has been obtained by sampling a
CAD object. The way these elements were created by using existing platforms and
datasets makes the benchmark easily expandable. The dataset is already split
into a training set and a test set. To assess performance and accuracy of the
different primitive fitting methods, various measures are defined. To
demonstrate the effective use of Fit4CAD, we have tested it on two methods
belonging to two different categories of approaches to the primitive fitting
problem: a clustering method based on a primitive growing framework and a
parametric method based on the Hough transform.
