The purpose of this thesis is to create a 3D reconstruction framework that can be used in real time. This is accomplished using a parallel implementation of a shape from silhouette (SFS) algorithm. The number of silhouettes employed in reconstruction makes a major contribution to the quality at the expense of reduced speed. In order to keep this number at the minimum level without extensively sacrificing quality, a novel system is introduced. This system is based on evenly distributed viewpoints using a regular tetrahedron structure. In order to reduce cost and simplify camera calibration, we used a single camera setup with three mirrors thus creating virtual cameras for three of four viewpoints. Besides taking advantage of minimal number of viewpoints, parallel hardware is utilized to achieve real time speed. A volume based SFS algorithm is implemented using CUDA parallel computing platform.