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izvor podataka: crosbi

Evaluation of Color and Texture Descriptors for Matching of Planar Surfaces in Global Localization Scheme (CROSBI ID 226391)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Filko, Damir ; Cupec, Robert ; Nyarko, Emmanuel Karlo Evaluation of Color and Texture Descriptors for Matching of Planar Surfaces in Global Localization Scheme // Robotics and autonomous systems, 80 (2016), 55-68. doi: 10.1016/j.robot.2016.03.007

Podaci o odgovornosti

Filko, Damir ; Cupec, Robert ; Nyarko, Emmanuel Karlo

engleski

Evaluation of Color and Texture Descriptors for Matching of Planar Surfaces in Global Localization Scheme

This paper presents a systematic study about the applicability of color/texture descriptors in a global localization system based on planar surface segments. Two comprehensive experiments regarding matching of planar surface segments and robot pose hypothesis evaluation were conducted. The experiments show that using color/texture descriptors to prune potential surface pairs in the initial correspondence phase and to provide additional information in the hypothesis evaluation phase of a feature-based localization scheme can result in considerable speedup of the localization process and help distinguish between geometrically similar places. An experimental benchmark which enables researchers to evaluate the performance of color and texture descriptors in the context of mobile robot localization based on planar surface segments is presented.

3D planar features ; color ; texture ; global localization ; place recognition

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Podaci o izdanju

80

2016.

55-68

objavljeno

0921-8890

10.1016/j.robot.2016.03.007

Povezanost rada

Računarstvo

Poveznice
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