Effective Key Region-Guided Face Detail Optimization Algorithm for 3D Face Reconstruction

Author:

Xiao Meihua1,Yi Hanxiao1,Huang Ying2ORCID,Luo Guoliang34ORCID,Xiao Qian3

Affiliation:

1. Software Institute, East China Jiaotong University, Nanchang 330013, China

2. Alibaba Business School, Hangzhou Normal University, Hangzhou 311121, China

3. Virtual Reality and Interactive Techniques Institute, East China Jiaotong University, Nanchang 330013, China

4. Jiangxi Booway New Technology Co., Ltd, Nanchang 330096, China

Abstract

Low-cost and highly efficient 3D face reconstruction is a significant technique for developing virtual interaction applications. While the Kinect, a typical low-cost 3D data collection device, has been widely used in many applications, in this work, we propose a highly efficient 3D face point cloud optimization method for face reconstruction based on Kinect. Based on the different characteristics of the Kinect point cloud, diverse optimization strategies were delicately applied to improve the reconstruction quality. Our extensive experiments clearly show that our approach outperforms traditional approaches in terms of accuracy.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

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