3D reconstruction is the process of capturing the shape and appearance of real objects. The task of recovering three-dimensional (3-D) geometry from two-dimensional views of a scene is called 3-D reconstruction. The third dimension plays an important role in the analysis of dynamic or static environments. 3D model of a scene has applications in various computer vision fields, including robotics, virtual reality, and entertainment. There is a large body of 3-D reconstruction algorithms available. Some algorithms only produce a sparse 3-D reconstruction while others are able to output a dense reconstruction. The selection of the appropriate 3-D reconstruction algorithm relies heavily on the intended application as well as the available resources. We divided the algorithm into two large categories depending on whether a prior calibration of the camera is required i.e. pre-calibrated and online calibrated algorithms.