3D Visualization of Partially Occluded Objects Using Axially Distributed Sensing

We present experiments on 3D visualization of partially occluded objects using axially distributed sensing. The axially distributed sensing method provides collection of 3D information for a partially occluded object and the 3D images are visualized using the modified digital reconstruction algorithm based on inverse ray projection model. We apply this method to a camouflage setting where the object is partially occluded by a camouflage net. The optical experiments are performed to capture longitudinal elemental images of a partially camouflaged object and to visualize the 3D images with digital reconstruction. To the best of our knowledge, this is the first report to apply the axially distributed sensing method to visualizing occluded objects.