BREATH-AMMONIA METHOD FOR H. PYLORI DETECTION

Not Available Constructing and maintaining accurate three-dimensional models used in Automatic Target Recognition (ATR) tasks has been a time consuming and difficult task. The problems associated with finding a good model are exacerbated by changing battlefield conditions such as weather effects and small changes in the target's appearance such as material or personnel. We propose a means of reconstruction of three-dimensional information using Motion vision (Motion vision reconstructs three dimensional structure from an image sequence recording object or camera motion). Images from standard cameras will be used to create and modify target models. These sensors will also compare current images to known models, finding the closest fit. This Phase I effort will review and evaluate the technology alternatives for implementing this dynamic set of models, and will define a system for performing automated model recovery from image streams to standard 3D representation formats such as VRML. This process will substantially speed the creation and update of dynamic knowledgebases for rapid access and update in ATR applications. BENEFITS: The model construction and updating technologies will be useful in developing model objects and terrain for simulation and training in both military and commercial venues (e.g. real estate agents and game developers).