3D self-portraits

Author:

Li Hao1,Vouga Etienne2,Gudym Anton3,Luo Linjie4,Barron Jonathan T.5,Gusev Gleb3

Affiliation:

1. University of Southern California

2. Columbia University

3. Artec Group

4. Adobe Research

5. UC Berkeley

Abstract

We develop an automatic pipeline that allows ordinary users to capture complete and fully textured 3D models of themselves in minutes, using only a single Kinect sensor, in the uncontrolled lighting environment of their own home. Our method requires neither a turntable nor a second operator, and is robust to the small deformations and changes of pose that inevitably arise during scanning. After the users rotate themselves with the same pose for a few scans from different views, our system stitches together the captured scans using multi-view non-rigid registration, and produces watertight final models. To ensure consistent texturing, we recover the underlying albedo from each scanned texture and generate seamless global textures using Poisson blending. Despite the minimal requirements we place on the hardware and users, our method is suitable for full body capture of challenging scenes that cannot be handled well using previous methods, such as those involving loose clothing, complex poses, and props.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Cited by 155 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Audio-Driven Lips and Expression on 3D Human Face;Advances in Computer Graphics;2023-12-29

2. Real-time Facial Animation for 3D Stylized Character with Emotion Dynamics;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Kairos: Exploring a Virtual Botanical Garden through Point Clouds;Electronics;2023-10-11

4. Model-Driven Compression for Digital Human Using Multi-Granularity Representations;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07

5. Research on 3D Driveable Digital Human Generation System;2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2023-06-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3