Bounding volume estimation algorithm for image-based 3D object reconstruction
Tae Young Jang, Sung Soo Hwang, Hee-Dong Kim, Seong Dae Kim · IEIE Transactions on Smart Processing and Computing · 2014
This paper presents a method for estimating the bounding volume for image-based 3D object reconstruction. The bounding volume of an object is a three-dimensional space where the object is expectedto exist, and the size of the bounding volume strongly affects the resolution of the reconstructed geometry. Therefore, the size of a bounding volume should be as small as possible while it encloses an actual object. To this end, the proposed method uses a set of silhouettes of an object and generates a point cloud using a point filter. A bounding volume is then determined as the minimum sphere that encloses the point cloud. The experimental results show that the proposed method generates a bounding volume that encloses an actual object as small as possible.