A novel algorithm for tridimensional reconstruction using data from low-cost sensors

A novel algorithm to generate a tridimensional reconstruction of an object using a series of images obtained with sensors within low-cost cameras is proposed. As a matter of particular study, this paper present the methodology employed to set an array of sensors to extract the necessary information from a particular group of acquired images surrounding the sample, the processing schema for its interpretation and its mapping, in order to approximate a tridimensional model with the use of real data. The simulation results can verify the efficiency of the proposed approach, showing an application where it could be a useful tool for decision support or resource management.