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MLIC-Synthetizer: a Synthetic Multi-Light Image Collection Generator

Authors: Tinsae Gebrechristos Dulecha; Andrea Dall'Alba; Andrea Giachetti;

MLIC-Synthetizer: a Synthetic Multi-Light Image Collection Generator

Abstract

We present MLIC-Synthetizer, a Blender plugin specifically designed for the generation of a syntethic Multi-Light Image Collection using physically-based rendering. This tool makes easy to generate large amount of test data that can be useful for Photometric Stereo algorithms evaluation, validation of Reflectance Transformation Imaging calibration and processing method, relighting methods and more. Multi-pass rendering allows the generation of images with associated shadows and specularity ground truth maps, ground truth normals and material segmentation masks. Furthermore loops on material parameters allows the automatic generation of datasets with pre-defined material parameters ranges that can be used to train robust learning-based algorithms for 3D reconstruction, relight and material segmentation.

CCS Concepts: Computing methodologies --> Computer graphics; Software and its engineering --> Software notations and tools

Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference

Tinsae Gebrechristos Dulecha, Andrea Dall'Alba, and Andrea Giachetti

Posters

105

106

Related Organizations
Keywords

Computer graphics, Software notations and tools, Software and its engineering, MLIC-synthesizer, Multi-light Image Collections, MLIC, Computing methodologies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green