Abstract Over the last decade remote sensing has greatly improved in both its realism and coverage. Miniaturization and reduction in the cost of sensors, as well as game changing advances resulting from the development of new technologies have played a critical role in these improvements. This oral paper will explore an imaging technology, CaveCamX, that has been enabled as a result of these advances. CaveCamX is a small binocular two axis gimbal system used for creating high resolution 3D photospheres, combined with GPS and IMU data. This enables better coregistration internally within a single photosphere, and externally between heterogeneous datasets, including fusion with point clouds generated from Photogrammetry and Lidar. This decreases human processing time by automatically recording location and orientation of the dataset which would previously be recorded manually and therefore often left out or lost. The attitude data will hopefully enable fully automatic stitching of stereoscopic datasets without the commonly associated motion sickness by constraining the system, limiting how the software can warp the images. Its small size and low power consumption allow it to be easily taken with on field expeditions, without compromises in photo quality or excessive weight, like other systems. CaveCamX enables remote visualization of archaeological sites, allowing researchers to be virtually immersed in the captured scene without having to travel across the globe to be physically present, with high resolution (1GP sized datasets). It enables researchers to remotely view an area as if they were there (with the constraint that they are limited to a few locations in the area) with great detail, in contrast with other systems like LIDAR which provide different advantages.
