A Correspondence Relaxation Approach for 3D Shape Reconstruction
This addresses 3D reconstruction for computer vision applications, but it is incremental as it builds on two existing methods.
The paper tackles 3D shape reconstruction from a single photograph by proposing a relaxation-based method to improve correspondence establishment and shape recovery, demonstrating promising results compared to state-of-the-art work.
This paper presents a new method for 3D shape reconstruction based on two existing methods. A 3D reconstruction from a single photograph is introduced by both papers: the first one uses a photograph and a set of existing 3D model to generate the 3D object in the photograph, while the second one uses a photograph and a selected similar model to create the 3D object in the photograph. According to their difference, we propose a relaxation based method for more accurate correspondence establishment and shape recovery. The experiment demonstrates promising results compared to the state-of-the-art work on 3D shape estimation.