Parametric Singularity Fusion Algorithm

The Army is seeking the development of an innovative image-based fusion and target detection algorithm that can collate incomplete information from multiple and disparate sensors. Intelligent Optical Systems (IOS) proposes to develop a differential mapping method that is based on a Parametric Singularity Fusion (PSF) algorithm. The PSF technology derives from IOS' proprietary developments in combined image modeling and fusion. The proposed PSF technology will use an optimal nonlinear filtering approach to implement camera position invariant primitives as building blocks in a 3-D modeling and fusion system that will quickly and accurately sense and understand objects and features in a complex environment. In Phase I, IOS provided proof of feasibility by developing the PSF algorithm to represent the target images as a photometric polynomial model, and producing the conceptual parametric singularity fusion algorithms. In Phase II, IOS will develop robust prototype software that will allow the refined identification and assessment of situations and threats to be achieved, thus increasing the precision of targeting over traditional image fusion methods. In Phase II, IOS will also demonstrate verifiable prototype software.