2026-04-17T08:07:43Zhttps://recercat.cat/oai/requestoai:recercat.cat:10256/117472024-05-22T09:48:51Zcom_2072_452955com_2072_2054col_2072_452957
RECERCAT
author
Ferrer Plana, Jordi
author
García Campos, Rafael
2024-05-22T09:48:51Z
2024-05-22T09:48:51Z
info:eu-repo/date/embargoEnd/2026-01-01info:eu-repo/date/embargoEnd/2026-01-012010
http://hdl.handle.net/10256/11747
Stereo triangulation lays at the basis of 3D scene recovery and it is used in a wide variety of areas ranging from urban modelling to robot localisation and mapping. However, triangulation produces non-Gaussian 3D estimates from Gaussian image measurements owing to its nonlinear nature. While previous work demonstrates the presence of statistical bias and how to correct the depth estimate, in this presented report, proposed and proven in a Monte Carlo test, is an enhancement for correcting the full 3D position given the image projection noise varianceThis work has been partially funded by the MICINN under grants CTM2010-15216 and PI08/9087. J. Ferrer has been funded by MICINN under FPI grant BES-2006-12733
Tots els drets reservats info:eu-repo/semantics/embargoedAccess
Visualització tridimensional (Informàtica)
Three-dimensional display systems
Montecarlo, Mètode de
Monte Carlo method
Bias reduction for stereo triangulation
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion