  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.
