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Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/5052
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dc.contributorMinisterio de Ciencia y Tecnología (España)-
dc.contributorCSIC-INTA - Centro de Astrobiología (CAB)-
dc.creatorMcGuire, Patrick C.-
dc.creatorOrmö, Jens-
dc.creatorDíaz-Martínez, Enrique-
dc.creatorRodríguez-Manfredi, José Antonio-
dc.creatorGómez-Elvira, Javier-
dc.creatorRitter, Helge-
dc.creatorOesker, Markus-
dc.creatorOntrup, Joerg-
dc.date2008-06-12T17:24:42Z-
dc.date2008-06-12T17:24:42Z-
dc.date2004-10-27-
dc.date.accessioned2017-01-31T01:40:57Z-
dc.date.available2017-01-31T01:40:57Z-
dc.identifierarXiv:cs/0410071v1 [cs.CV]-
dc.identifierInt.J.Astrobiol. 3 (2004) 189-207-
dc.identifier1473-5504-
dc.identifierhttp://hdl.handle.net/10261/5052-
dc.identifier10.1017/S147355040500220X-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/5052-
dc.description29 pages, 10 figures.-- Final editor version available at: http://dx.doi.org/10.1017/S147355040500220X-
dc.descriptionWe present results from the first geological field tests of the `Cyborg Astrobiologist', which is a wearable computer and video camcorder system that we are using to test and train a computer-vision system towards having some of the autonomous decision-making capabilities of a field-geologist and field-astrobiologist. The Cyborg Astrobiologist platform has thus far been used for testing and development of these algorithms and systems: robotic acquisition of quasi-mosaics of images, real-time image segmentation, and real-time determination of interesting points in the image mosaics. The hardware and software systems function reliably, and the computer-vision algorithms are adequate for the first field tests. In addition to the proof-of-concept aspect of these field tests, the main result of these field tests is the enumeration of those issues that we can improve in the future, including: first, detection and accounting for shadows caused by 3D jagged edges in the outcrop; second, reincorporation of more sophisticated texture-analysis algorithms into the system; third, creation of hardware and software capabilities to control the camera's zoom lens in an intelligent manner; and fourth, development of algorithms for interpretation of complex geological scenery. Nonetheless, despite these technical inadequacies, this Cyborg Astrobiologist system, consisting of a camera-equipped wearable-computer and its computer-vision algorithms, has demonstrated its ability of finding genuinely interesting points in real-time in the geological scenery, and then gathering more information about these interest points in an automated manner.-
dc.descriptionP. McGuire, J. Ormö and E. Díaz Martínez would all like to thank the Ramon y Cajal Fellowship program in Spain. The work by J. Ormö was partially supported by a grant from the Spanish Ministry for Science and Technology (AYA2003-01203). The equipment used in this work was purchased by grants to our Center for Astrobiology from its sponsoring research organizations, CSIC and INTA.-
dc.descriptionPeer reviewed-
dc.format551085 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherCambridge University Press-
dc.relationPreprint-
dc.rightsopenAccess-
dc.subjectComputer vision-
dc.subjectRobotics-
dc.subjectImage segmentation-
dc.subjectUncommon map-
dc.subjectInterest map-
dc.subjectField Geology-
dc.subjectMars-
dc.subjectWearable computers-
dc.subjectCo-occurrence histograms-
dc.subjectGypsum-
dc.subjectMiocene-
dc.titleThe Cyborg Astrobiologist: First Field Experience-
dc.typePre-print-
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