3D compressed image recognition and the variable magnification power of the human vision system

Human visual imaging in is the most efficient data gathering and image recognition system known. This work employs a comprehensive computer model that takes into consideration the anatomical and physical features of the human eye; it employs the ray tracing technique to construct images on the curved surface of the retina. Accordingly, we offer a plausible explanation for how the process of focusing and image compression is done without appreciable loss in the acuity or the sharpness of the image. The results discuss the magnification factor of the eye in the case of far vision and near vision for both accommodated and unaccommodated modes. The conclusion proposes the parameters that lead to the perception of the three dimensions world. Also we propose similar design to help the computer in recognizing a 3D object