A Novel Algorithm for Tridimensional Reconstruction using Data from Low-Cost Sensors
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Fecha
2015-07
Autores
Barrera-Pelayo, Alicia
Villalón-Turrubiates, Iván E.
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Editor
Institute of Electrical and Electronics Engineers
Resumen
Descripción
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.
Palabras clave
Image Processing, Optical Sensor, Array Signal Processing, Monitoring
Citación
Ivan E. Villalon-Turrubiates y Alicia Barrera-Pelayo, “A Novel Algorithm for Tridimensional Reconstruction using Data from Low-Cost Sensors”, en Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Understanding the Earth for a Safer World, Milán Italia, 2015, pp. 3014-3017.