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TRansPose: Large-Scale Multispectral Dataset for Transparent Object

Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties, not being well perceived from RGB or depth cameras. Overcoming this limitation, thermal infrared cameras have emerged as a solution, offering improved visibility and shape information for transparent objects. In this paper, we present TRansPose, the first large-scale multispectral dataset that combines stereo RGB-D, thermal infrared (TIR) images, and object poses to promote transparent object research.

Data and Resources

Cite this as

Jeongyun Kim, Jaeho Shin, Ayoung Kim, Myung-Hwan Jeon, Sangwoo Jung, Wooseong Yang, Minwoo Jung (2024). Dataset: TRansPose: Large-Scale Multispectral Dataset for Transparent Object. https://doi.org/10.57702/nusjj4b3

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2307.05016
Author Jeongyun Kim
More Authors
Jaeho Shin
Ayoung Kim
Myung-Hwan Jeon
Sangwoo Jung
Wooseong Yang
Minwoo Jung
Homepage https://sites.google.com/view/transpose-dataset