Residential College | false |
Status | 已發表Published |
Deep Inverse Rendering for Practical Object Appearance Scan with Uncalibrated Illumination | |
Zhang, J.1,2; Chen, G.3; Dong, Y.3; Shi, J.4; Zhang, B.5; Wu, E. H.1,5 | |
2020-10-18 | |
Conference Name | 37th Computer Graphics International Conference |
Source Publication | Advances in Computer Graphics, CGI 2020, Lecture Notes in Computer Science |
Volume | 12221 LNCS |
Pages | 71–82 |
Conference Date | 2020/10/20-2020/10/23 |
Conference Place | Geneva, Switzerland |
Abstract | In this paper, we propose a practical method to estimate object appearance from an arbitrary number of images. We use a moving flashlight as light source, and encode surface reflectance properties in a pre-learned embedded latent space. Such lighting and appearance model combination enables our method to effectively narrow the solution space. Uncalibrated illumination requirement extremely simplifies our setup and affords it unnecessary to accurately locate light positions in advance. Moreover, our method automatically selects key frames before appearance estimation, which largely reduces calculation cost. Both synthetic and real experiments demonstrate that our method can recover object appearance accurately and conveniently. |
Keyword | Svbrdf Reflectance Appearance Flashlight |
DOI | 10.1007/978-3-030-61864-3_7 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Software Engineering |
WOS ID | WOS:000917888100007 |
The Source to Article | PB_Publication |
Scopus ID | 2-s2.0-85096538512 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Zhang, J. |
Affiliation | 1.State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Microsoft Research Asia, Beijing, China 4.Institute of Automation, Chinese Academy of Sciences, Beijing, China 5.University of Macau, Macao, China |
Recommended Citation GB/T 7714 | Zhang, J.,Chen, G.,Dong, Y.,et al. Deep Inverse Rendering for Practical Object Appearance Scan with Uncalibrated Illumination[C], 2020, 71–82. |
APA | Zhang, J.., Chen, G.., Dong, Y.., Shi, J.., Zhang, B.., & Wu, E. H. (2020). Deep Inverse Rendering for Practical Object Appearance Scan with Uncalibrated Illumination. Advances in Computer Graphics, CGI 2020, Lecture Notes in Computer Science, 12221 LNCS, 71–82. |
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