2026-04-14T03:53:29Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/117472024-05-22T09:48:51Zcom_2072_452955com_2072_2054col_2072_452957

00925njm 22002777a 4500 dc Ferrer Plana, Jordi author García Campos, Rafael author info:eu-repo/date/embargoEnd/2026-01-01 info:eu-repo/date/embargoEnd/2026-01-01 2010 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 variance This 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 http://hdl.handle.net/10256/11747 Visualització tridimensional (Informàtica) Three-dimensional display systems Montecarlo, Mètode de Monte Carlo method Bias reduction for stereo triangulation