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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 Name37th Computer Graphics International Conference
Source PublicationAdvances in Computer Graphics, CGI 2020, Lecture Notes in Computer Science
Volume12221 LNCS
Pages71–82
Conference Date2020/10/20-2020/10/23
Conference PlaceGeneva, 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.

KeywordSvbrdf Reflectance Appearance Flashlight
DOI10.1007/978-3-030-61864-3_7
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:000917888100007
The Source to ArticlePB_Publication
Scopus ID2-s2.0-85096538512
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorZhang, J.
Affiliation1.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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