Resumen
The article focuses on the usage of input technology in high-fidelity sampling of the physical world for creating computer graphics imagery. Many efforts in computer graphics focus on mimicking reality to generate images and 3D models that capture the same visual fidelity and realistic properties as the physical world. Recent innovations with input devices promise to significantly alter this process from a start-from-scratch synthesis procedure to a sampling procedure. Elements from physical environment are scanned to capture relevant 2D images or 3D content and then imported, manipulated and merged with other imported aircrafts or computer generated elements. These spatial sampling approaches will drive some significant future trends in computer graphics. Computer graphics can be seen as a means of supporting spatial computing with spatially oriented input and output goals. The core components of spatial computing are a user, input to the system, algorithms or ways the computer assists in a task, and some form of output. In a spatial sampling input approach, the sampling device is pivotal in determining the abilities and design of the rest of the system.