Learning Lightprobes for Mixed Reality Illumination

David Mandl, Kwang Moo Yi, Peter Mohr-Ziak, Peter M. Roth, Pascal Fua, Vincent Lepetit, Dieter Schmalstieg, Denis Kalkofen

Research output: Contribution to conferencePaper

Abstract

This paper presents the first photometric registration pipeline for
Mixed Reality based on high quality illumination estimation using
convolutional neural networks (CNNs). For easy adaptation and deployment
of the system, we train the CNNs using purely synthetic
images and apply them to real image data. To keep the pipeline accurate
and efficient, we propose to fuse the light estimation results
from multiple CNN instances and show an approach for caching
estimates over time. For optimal performance, we furthermore explore
multiple strategies for the CNN training. Experimental results
show that the proposed method yields highly accurate estimates for
photo-realistic augmentations.

Conference

ConferenceInternational Symposium on Mixed and Augmented
Reality 2017
Abbreviated titleISMAR 2017
CountryFrance
CityNantes
Period9/10/1713/10/17
Internet address

Fingerprint

Lighting
Neural networks
Pipelines
Electric fuses

Cite this

Mandl, D., Yi, K. M., Mohr-Ziak, P., Roth, P. M., Fua, P., Lepetit, V., ... Kalkofen, D. (2017). Learning Lightprobes for Mixed Reality Illumination. Paper presented at International Symposium on Mixed and Augmented
Reality 2017, Nantes, France.DOI: 10.1109/ISMAR.2017.25

Learning Lightprobes for Mixed Reality Illumination. / Mandl, David; Yi, Kwang Moo; Mohr-Ziak, Peter; Roth, Peter M.; Fua, Pascal; Lepetit, Vincent; Schmalstieg, Dieter; Kalkofen, Denis.

2017. Paper presented at International Symposium on Mixed and Augmented
Reality 2017, Nantes, France.

Research output: Contribution to conferencePaper

Mandl, D, Yi, KM, Mohr-Ziak, P, Roth, PM, Fua, P, Lepetit, V, Schmalstieg, D & Kalkofen, D 2017, 'Learning Lightprobes for Mixed Reality Illumination' Paper presented at International Symposium on Mixed and Augmented
Reality 2017, Nantes, France, 9/10/17 - 13/10/17, . DOI: 10.1109/ISMAR.2017.25
Mandl D, Yi KM, Mohr-Ziak P, Roth PM, Fua P, Lepetit V et al. Learning Lightprobes for Mixed Reality Illumination. 2017. Paper presented at International Symposium on Mixed and Augmented
Reality 2017, Nantes, France. Available from, DOI: 10.1109/ISMAR.2017.25
Mandl, David ; Yi, Kwang Moo ; Mohr-Ziak, Peter ; Roth, Peter M. ; Fua, Pascal ; Lepetit, Vincent ; Schmalstieg, Dieter ; Kalkofen, Denis. / Learning Lightprobes for Mixed Reality Illumination. Paper presented at International Symposium on Mixed and Augmented
Reality 2017, Nantes, France.8 p.
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