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dc.contributor.authorCelaya, Enric-
dc.date.accessioned2010-12-16T13:53:15Z-
dc.date.available2010-12-16T13:53:15Z-
dc.date.issued2003-
dc.identifier.citation11th International Conference on Advanced Robotics: 345-350 (2003)-
dc.identifier.isbn9729688982-
dc.identifier.urihttp://hdl.handle.net/10261/30232-
dc.descriptionInternational Conference on Advanced Robotics (ICAR), 2003, Coimbra (Portugal)-
dc.description.abstractThis paper presents a new approach to detect salient regions in an image. A number of units is used to respond to the most salient regions, adapting their response to the size and range of colors present in each region. The system can be directly used on a sequence of images, continuously adapting its output with time. A quality estimation of each unit allows to select the most relevant regions present in the image at any time. Experiments performed on test images showing a robust behavior of the system are presented. The output of this process can be used in a visual landmark-based navigation system to determine what parts of the image should be explored to find the most useful landmarks.-
dc.description.sponsorshipThis work was supported by the project 'Navegación autónoma de robots guiados por objetivos visuales' (070-720).-
dc.language.isoeng-
dc.publisherUniversidade de Coimbra-
dc.rightsopenAccess-
dc.subjectAutomation: Robots: Robot vision-
dc.subjectRobot vision-
dc.titleSalience detection for vision-based robot navigation-
dc.typecomunicación de congreso-
dc.description.peerreviewedPeer Reviewed-
Appears in Collections:(IRII) Comunicaciones congresos
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