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Communication Dans Un Congrès Année : 2017

A Study of Virtual Visual Servoing Sensitivity in the Context of Image/GIS Registration for Urban Environments

Résumé

This paper studies the sensitivity of pose estima- tion to the 2D measure noise when using virtual visual servoing. Attempting to apply virtual visual servoing to image/Geographic Information System (GIS) reg- istration, the robustness to the noise in images is an important factor to the accuracy of estimation. To an- alyze the impact of different levels of noise, a series of image/GIS registration tests based on synthetic in- put image are studied. Also, RANSAC is introduced to improve the robustness of the method. We also com- pare some different strategies in choosing geometrical features and in the treatment of projection error vec- tor in virtual visual servoing, providing a guide for parametrization.
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Dates et versions

hal-01526972 , version 1 (23-05-2017)

Identifiants

Citer

Hengyang Wei, Muriel Pressigout, Luce Morin, Myriam Servières, Guillaume Moreau. A Study of Virtual Visual Servoing Sensitivity in the Context of Image/GIS Registration for Urban Environments. Fifteenth IAPR International Conference on Machine Vision Application, 2017, Nagoya, Japan. pp.522-525, ⟨10.23919/MVA.2017.7986915⟩. ⟨hal-01526972⟩
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