Procedures for Condition Mapping Using 360xc2xb0 Images The identification of deterioration mechanisms and their monitoring over time is an essential phase for conservation. This work aimed at developing a novel approach for deterioration mapping and monitoring based on 360xc2xb0 images, which allows for simple and rapid data collection. The opportunity to capture the whole scene around a 360xc2xb0 camera reduces the number of images needed in a condition mapping project, resulting in a powerful solution to document small and narrow spaces. The paper will describe the implemented workflow for deterioration mapping based on 360xc2xb0 images, which highlights pathologies on surfaces and quantitatively measures their extension. Such a result will be available as standard outputs as well as an innovative virtual environment for immersive visualization. The case of multitemporal data acquisition will be considered and discussed as well. Multiple 360xc2xb0 images acquired at different epochs from slightly different points are coregistered to obtain pixeltopixel correspondence, providing a solution to quantify and track deterioration effects.

Time budget evaluation for imagebased reconstruction of sewer shafts In this paper we propose a robust realtime image and sensor based approach for automatic 3d model acquisition of sewer shafts from survey videos captured by a downwardlooking fisheyelens camera while lowering it into the shaft. Our approach is based on Structure from Motion adjusted to the constrained motion and scene, and involves shape recognition techniques in order to obtain the geometry of the scene appropriately. We perform a time budget evaluation for the components of an existing offline application based on previous work and design a realtime application which can be applied during onsite inspection. The methods of our approach are modified so that they can be executed on the GPU. Expensive bundle adjustment is avoided by applying a simple and fast geometric correction of the computed reconstruction which is capable of handling inaccuracies of the intrinsic camera calibration parameters.