Neural Projection Mapping Using Reflectance Fields

Erel, Yotam; Iwai, Daisuke; Bermano, Amit H.

doi:10.1109/tvcg.2023.3320256

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…Erel et al successfully decomposed scene geometry and view-dependent reflectance properties and estimated the projector’s intrinsic and extrinsic parameters by training neural representations of the scene from multi-view captures under PM with different color patterns. 86 ) They showcased that their DNNs can handle geometric registration and radiometric compensation for novel viewpoints.…”

Section: Radiometric Compensationmentioning

confidence: 99%

Projection mapping technologies: A review of current trends and future directions

IWAI

2024

Proceedings of the Japan Academy. Ser. B: Physical and Biologic

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This study summarizes current trends and future directions in projection mapping technologies. Projection mapping seamlessly merges the virtual and real worlds through projected imagery onto physical surfaces, creating an augmented reality environment. Beyond traditional applications in advertising, art, and entertainment, various fields, including medical surgery, product design, and telecommunications, have embraced projection mapping. This study categorizes recent techniques that address technical challenges in accurately replicating desired appearances on physical surfaces through projected imagery into four groups: geometric registration, radiometric compensation, defocus compensation, and shadow removal. It subsequently introduces unconventional projectors developed to resolve specific technical issues and discusses two approaches for overcoming the inherent limitations of projector hardware, such as the inability to display images floating above physical surfaces. Finally, this study concludes the discussion with possible future directions for projection mapping technologies.

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Section: Radiometric Compensationmentioning

confidence: 99%