A team of engineers led by Bahram Javidi (Professor of Electrical Engineering) from the University of Connecticut have found a way to display 3D images by simply scanning a series of QR codes, without needing use of the internet. This is possible due to the storing of compressed and encrypted images, which can be easily scanned, decrypted, and decompressed by commercial smartphones for secure 3D visual communication. This process is done by selecting the primary image to be visualized. This could be either a single 3D object, or an entire 3D scene. The 3D image is then broken down by taking multiple 2D images of it from multiple perspectives called elemental images. Each elemental image is taken from one portion of a precisely oriented array of tiny lenses called lenslets. The lenslet then captures the scene from many slightly offset perspectives. The elemental images are then split into two essential parts: the unique perspective of the 3D scene and the corresponding intensity information. This system is still in the concept stage and not yet available for commercial use however, the researchers believe that their system can be improved to produce higher quality 3D visual images and a more secure integration with smartphone technology.