Archive ouverte HAL - Comparative study of RGB-D sensors based on controlled displacements of a ground-truth model

Comparative study of RGB-D sensors based on controlled displacements of a ground-truth model

Adrien Anxionnat 1 Sandrine Voros 1 Jocelyne Troccaz 1
1 TIMC-IMAG-GMCAO - Gestes Medico-chirurgicaux Assistés par Ordinateur
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble
Abstract : In the context of developing a pedagogical tool for teaching anatomy, the need for a comparative study between two RGB-D cameras has emerged. This paper addresses the assessment of the accuracy and precision of two RGB-D sensors (Carmine Primesense and Persee Orbbec) through two different experiments. The evaluation not only provides comparative results on the sensors performances but also aims at determining in which conditions they are the most efficient. The first experiment evaluates the variability of the output depth map data. The second experiment focuses on analyzing the influence of the distance in the positioning accuracy of an object submitted to controlled displacements. The results are summarized in a set of error heat maps and a table; they provide clues for using one sensor rather than another by describing their robustness both in a static scene and in a motion capture scenario.
Type de document :
Communication dans un congrès
15 th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), Nov 2018, Singapour, Singapore. IEEE, 2018, Proceedings of ICARCV'2018
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https://hal.archives-ouvertes.fr/hal-01897009
Contributeur : Jocelyne Troccaz <>
Soumis le : mardi 16 octobre 2018 - 17:06:25
Dernière modification le : vendredi 26 octobre 2018 - 17:12:03

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icarcv_anxionnat_06_2018.pdf
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  • HAL Id : hal-01897009, version 1

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Adrien Anxionnat, Sandrine Voros, Jocelyne Troccaz. Comparative study of RGB-D sensors based on controlled displacements of a ground-truth model. 15 th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), Nov 2018, Singapour, Singapore. IEEE, 2018, Proceedings of ICARCV'2018. 〈hal-01897009〉

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