Next-best-view planning for 3D object reconstruction under positioning error

Juan Irving Vásquez, L. Enrique Sucar

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

12 Citas (Scopus)

Resumen

To acquire a 3D model of an object it is necessary to plan a set of locations, called views, where a range sensor will be placed. The problem is solved in greedy manner, by selecting iteratively next-best-views. When a mobile robot is used, we have to take into account positioning errors, given that they can affect the quality and efficiency of the plan. We propose a method to plan "safe views" which are successful even when there is positioning error. The method is based on a reevaluation of the candidate views according to their neighbors, so view points which are safer against positioning error are preferred. The method was tested in simulation with objects of different complexities. Experimental results show that the proposed method achieves similar results as the ideal case without error, reducing the number of views required against the standard approach that does not consider positioning error.

Idioma originalInglés
Título de la publicación alojadaAdvances in Artificial Intelligence - 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Proceedings
Páginas429-442
Número de páginas14
EdiciónPART 1
DOI
EstadoPublicada - 2011
Publicado de forma externa
Evento10th Mexican International Conference on Artificial Intelligence, MICAI 2011 - Puebla, México
Duración: 26 nov. 20114 dic. 2011

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 1
Volumen7094 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th Mexican International Conference on Artificial Intelligence, MICAI 2011
País/TerritorioMéxico
CiudadPuebla
Período26/11/114/12/11

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