From 2.5D Bas‐relief to 3D Portrait Model

Abstract

In contrast to 3D model that can be freely observed, p ortrait bas‐relief projects slightly from the background and is limited by fixed viewpoint. In this paper, we propose a novel method to reconstruct the underlying 3D shape from a single 2.5D bas‐relief, providing observers wider viewing perspectives. Our target is to make the reconstructed portrait has natural depth ordering and similar appearance to the input. To achieve this, we first use a 3D template face to fit the portrait. Then, we optimize the face shape by normal transfer and Poisson surface reconstruction. The hair and body regions are finally reconstructed and combined with the 3D face. From the resulting 3D shape, one can generate new reliefs with varying poses and thickness, freeing the input one from fixed view. A number of experimental results verify the effectiveness of our method.

Analysis of Current Situation, Demand and Development Trend of Casting Grinding Technology

“…In 2009, Siebert et al extended the 2D SIFT algorithm to 2.5D for application [ 77 ]; the proposed algorithm can be directly matched using local features of 3D rotation invariance. Zhang Yuwei et al proposed a method to reconstruct the underlying 3D shape from a 2.5D bas-relief, and optimized the face shape through normal transfer and Poisson surface reconstruction [ 78 ]. Zhang et al constructed a 2.5D height field for portrait relief to enhance the appearance of the portrait [ 79 ], and the 2.5D technology was applied to the processing of the portrait relief.…”