Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2004-09-15
Computer Science
Computer Vision and Pattern Recognition
7 pages, 6 figures. Submitted to ICRA'2005 (Int'l Conf. on Robotics & Automation, IEEE), April 18-22, 2005, Barcelona, Spain
Scientific paper
We 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. 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: dealing with structural shadow and microtexture, and also, controlling the camera's zoom lens in an intelligent manner. Nonetheless, despite these and other 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.
Diaz-Martinez Enrique
Gomez-Elvira Javier
Haschke Robert
McGuire Patrick C.
Oesker Markus
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