3D Face Model Super-Resolution Based on Radial Curve Estimation

Consumer depth cameras bring about cheap and fast acquisition of 3D models. However, the precision and resolution of these consumer depth cameras cannot satisfy the requirements of some 3D face applications. In this paper, we present a super-resolution method for reconstructing a high resolution 3D...

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Main Authors: Fan Zhang, Junli Zhao, Liang Wang, Fuqing Duan
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/3/1047
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author Fan Zhang
Junli Zhao
Liang Wang
Fuqing Duan
author_facet Fan Zhang
Junli Zhao
Liang Wang
Fuqing Duan
author_sort Fan Zhang
collection DOAJ
description Consumer depth cameras bring about cheap and fast acquisition of 3D models. However, the precision and resolution of these consumer depth cameras cannot satisfy the requirements of some 3D face applications. In this paper, we present a super-resolution method for reconstructing a high resolution 3D face model from a low resolution 3D face model acquired from a consumer depth camera. We used a group of radial curves to represent a 3D face. For a given low resolution 3D face model, we first extracted radial curves on it, and then estimated their corresponding high resolution ones by radial curve matching, for which Dynamic Time Warping (DTW) was used. Finally, a reference high resolution 3D face model was deformed to generate a high resolution face model by using the radial curves as the constraining feature. We evaluated our method both qualitatively and quantitatively, and the experimental results validated our method.
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spelling doaj.art-086e15ff48e94c1e8f2efc781e6deff02022-12-21T19:26:23ZengMDPI AGApplied Sciences2076-34172020-02-01103104710.3390/app10031047app100310473D Face Model Super-Resolution Based on Radial Curve EstimationFan Zhang0Junli Zhao1Liang Wang2Fuqing Duan3College of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaSchool of Data Science and Software Engineering, Qingdao University, Qingdao 266071, ChinaFaculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaCollege of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaConsumer depth cameras bring about cheap and fast acquisition of 3D models. However, the precision and resolution of these consumer depth cameras cannot satisfy the requirements of some 3D face applications. In this paper, we present a super-resolution method for reconstructing a high resolution 3D face model from a low resolution 3D face model acquired from a consumer depth camera. We used a group of radial curves to represent a 3D face. For a given low resolution 3D face model, we first extracted radial curves on it, and then estimated their corresponding high resolution ones by radial curve matching, for which Dynamic Time Warping (DTW) was used. Finally, a reference high resolution 3D face model was deformed to generate a high resolution face model by using the radial curves as the constraining feature. We evaluated our method both qualitatively and quantitatively, and the experimental results validated our method.https://www.mdpi.com/2076-3417/10/3/10473d face modelsuper-resolutionradial curvedynamic time warping
spellingShingle Fan Zhang
Junli Zhao
Liang Wang
Fuqing Duan
3D Face Model Super-Resolution Based on Radial Curve Estimation
Applied Sciences
3d face model
super-resolution
radial curve
dynamic time warping
title 3D Face Model Super-Resolution Based on Radial Curve Estimation
title_full 3D Face Model Super-Resolution Based on Radial Curve Estimation
title_fullStr 3D Face Model Super-Resolution Based on Radial Curve Estimation
title_full_unstemmed 3D Face Model Super-Resolution Based on Radial Curve Estimation
title_short 3D Face Model Super-Resolution Based on Radial Curve Estimation
title_sort 3d face model super resolution based on radial curve estimation
topic 3d face model
super-resolution
radial curve
dynamic time warping
url https://www.mdpi.com/2076-3417/10/3/1047
work_keys_str_mv AT fanzhang 3dfacemodelsuperresolutionbasedonradialcurveestimation
AT junlizhao 3dfacemodelsuperresolutionbasedonradialcurveestimation
AT liangwang 3dfacemodelsuperresolutionbasedonradialcurveestimation
AT fuqingduan 3dfacemodelsuperresolutionbasedonradialcurveestimation