This article presents a novel utilization of the concept of entropy in information theory to a model-free reconstruction of 3D space in presence of noise. We show that its formulation attains its global minimum at the upper edge of this space to facilitate the extraction of its volume. Furthermore, we present a Monte Carlo approach that is based on the stratification of the sensor information t...
