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Simulation of Camera Features

Computer vision algorithms typically process real world image data acquired by cameras or video cameras. Such image data suffer from imperfections caused by the acquisition process. This paper focuses on simulation of the acquisition process in order to enable rendering of images based on a 3D generated model that are as close to the images acquired by cameras or video cameras as possible. Its main purpose is simulation of video input for computer vision applications, e.g. robot navigation. Imperfections, such as geometry distortion, chromatic aberration, depth of field effect, motion blur, exposure automation, vignetting, inner lens reflections, and also imperfections caused by image sensor features are considered. The paper, besides description of imperfections of the acquisition process and description of imperfections simulation, also presents results of the simulation software through illustrative figures produced by the software.