Multiview 3D reconstruction based on vanishing points and homography

3D reconstruction is one of the long lasting research topics in computer vision. It is the task of regenerating a model in three-dimensional (3D) space by images taken from the scene. An image-based method for 3D reconstruction based on intersection of planar visual hulls from projective images taken by multiview videos is proposed. Reconstruction can be performed without any further information related to camera calibration, feature extraction, and dense matching. This process computes the homography of reference plane along with one corresponding point off the reference plane, and vanishing points in all views. The 2D visual hulls along the object structure are generated. By stacking 2D visual hull slices, the 3D model of the object is obtained efficiently with least imposed constraints.