Abstract
Diminished reality (DR) refers to interactive techniques for deleting or diminishing undesirable objects from a perceived environment, whereas augmented/mixed reality seamlessly merges a real and virtual scene. In this paper, we introduce data acquisition facilities and evaluation workflow towards DR method benchmark. In the proposed data acquisition facilities, simulated indoor and outdoor scenes are constructed, illumed, and photographed, using full-scale and miniature sets, a cinematography-based lighting system, and camera attached 6 degrees of freedom industrial robot arm respectively. Consequently, it facilitates acquisition of paired image sequence with and without target objects of interest, i.e., source and ground truth image sequences, to evaluate DR methods in indoor and outdoor scenarios. Through operations test, several datasets are recorded and test benches of DR methods are evaluated using the dataset to show that such data is usable for qualitative and quantitative evaluation of DR methods.
