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What's the most accurate 3D model of your face you can obtain while sitting at your desk? We attempt to answer this question in our work. High fidelity face reconstructions have so far been limited to either studio settings or through…

Computer Vision and Pattern Recognition · Computer Science 2020-03-20 Shubham Agrawal , Anuj Pahuja , Simon Lucey

We propose a novel method for high-quality facial texture reconstruction from RGB images using a novel capturing routine based on a single smartphone which we equip with an inexpensive polarization foil. Specifically, we turn the flashlight…

Computer Vision and Pattern Recognition · Computer Science 2023-03-16 Dejan Azinović , Olivier Maury , Christophe Hery , Mathias Nießner , Justus Thies

Three-dimensional (3D) facial shape analysis has gained interest due to its potential clinical applications. However, the high cost of advanced 3D facial acquisition systems limits their widespread use, driving the development of low-cost…

While the problem of estimating shapes and diffuse reflectances of human faces from images has been extensively studied, there is relatively less work done on recovering the specular albedo. This paper presents a lightweight solution for…

Computer Vision and Pattern Recognition · Computer Science 2019-11-28 Guoxian Song , Jianmin Zheng , Jianfei Cai , Tat-Jen Cham

3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to distinct application scenarios. These assumptions limit their use when acquisition conditions, such as the subject's distance from the camera or the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Simone Maurizio La Cava , Sara Concas , Ruben Tolosana , Roberto Casula , Giulia Orrù , Martin Drahansky , Julian Fierrez , Gian Luca Marcialis

This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving. Based on a parametric body model, we present a robust processing pipeline achieving 3D…

Computer Vision and Pattern Recognition · Computer Science 2018-04-17 Thiemo Alldieck , Marcus Magnor , Weipeng Xu , Christian Theobalt , Gerard Pons-Moll

Most 3D face reconstruction methods rely on 3D morphable models, which disentangle the space of facial deformations into identity geometry, expressions and skin reflectance. These models are typically learned from a limited number of 3D…

Computer Vision and Pattern Recognition · Computer Science 2020-10-06 Mallikarjun B R , Ayush Tewari , Hans-Peter Seidel , Mohamed Elgharib , Christian Theobalt

3D face reconstruction from a single image is a classical and challenging problem, with wide applications in many areas. Inspired by recent works in face animation from RGB-D or monocular video inputs, we develop a novel method for…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Luo Jiang , Juyong Zhang , Bailin Deng , Hao Li , Ligang Liu

3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitude due to the loss of fine-grained geometry, which is…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Xiangyu Zhu , Chang Yu , Di Huang , Zhen Lei , Hao Wang , Stan Z. Li

Face registration deforms a template mesh to closely fit a 3D face scan, the quality of which commonly degrades in non-skin regions (e.g., hair, beard, accessories), because the optimized template-to-scan distance pulls the template mesh…

We address the problem of estimating the shape of a person's head, defined as the geometry of the complete head surface, from a video taken with a single moving camera, and determining the alignment of the fitted 3D head for all video…

Computer Vision and Pattern Recognition · Computer Science 2022-03-08 Tejas Mane , Aylar Bayramova , Kostas Daniilidis , Philippos Mordohai , Elena Bernardis

3D face reconstruction and face alignment are two fundamental and highly related topics in computer vision. Recently, some works start to use deep learning models to estimate the 3DMM coefficients to reconstruct 3D face geometry. However,…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Zihao Jian , Minshan Xie

Traditional methods for image-based 3D face reconstruction and facial motion retargeting fit a 3D morphable model (3DMM) to the face, which has limited modeling capacity and fail to generalize well to in-the-wild data. Use of deformation…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Bindita Chaudhuri , Noranart Vesdapunt , Linda Shapiro , Baoyuan Wang

Reshaping accurate and realistic 3D human bodies from anthropometric parameters (e.g., height, chest size, etc.) poses a fundamental challenge for person identification, online shopping and virtual reality. Existing approaches for creating…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Yanhong Zeng , Jianlong Fu , Hongyang Chao

This paper presents a simple yet powerful method for 3D human mesh reconstruction from a single RGB image. Most recently, the non-local interactions of the whole mesh vertices have been effectively estimated in the transformer while the…

Computer Vision and Pattern Recognition · Computer Science 2023-04-20 Jeonghwan Kim , Mi-Gyeong Gwon , Hyunwoo Park , Hyukmin Kwon , Gi-Mun Um , Wonjun Kim

Geometry and texture estimation from a single face image is an ill-posed problem since there is very little information to work with. The problem further escalates when the face is rotated at a different angle. This paper tries to tackle…

Computer Vision and Pattern Recognition · Computer Science 2024-10-23 Rohit Das , Tzung-Han Lin , Ko-Chih Wang

Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications. Here, we introduce a learning-based approach for reconstructing a three-dimensional face…

Computer Vision and Pattern Recognition · Computer Science 2016-09-27 Elad Richardson , Matan Sela , Ron Kimmel

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step…

Computer Vision and Pattern Recognition · Computer Science 2017-04-25 Shu Zhang , Hui Yu , Ting Wang , Junyu Dong , Honghai Liu

We present a fully automatic approach to real-time 3D face reconstruction from monocular in-the-wild videos. With the use of a cascaded-regressor based face tracking and a 3D Morphable Face Model shape fitting, we obtain a semi-dense 3D…

Computer Vision and Pattern Recognition · Computer Science 2017-08-28 Patrik Huber , Philipp Kopp , Matthias Rätsch , William Christmas , Josef Kittler

3D Morphable Model (3DMM) based methods have achieved great success in recovering 3D face shapes from single-view images. However, the facial textures recovered by such methods lack the fidelity as exhibited in the input images. Recent work…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Jiangke Lin , Yi Yuan , Tianjia Shao , Kun Zhou
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