Search Results for author: Antony Lam

Found 8 papers, 0 papers with code

Coded Illumination and Imaging for Fluorescence Based Classification

no code implementations ECCV 2018 Yuta Asano, Misaki Meguro, Chao Wang, Antony Lam, Yinqiang Zheng, Takahiro Okabe, Imari Sato

The quick detection of specific substances in objects such as produce items via non-destructive visual cues is vital to ensuring the quality and safety of consumer products.

Classification General Classification +1

Deeply Learned Filter Response Functions for Hyperspectral Reconstruction

no code implementations CVPR 2018 Shijie Nie, Lin Gu, Yinqiang Zheng, Antony Lam, Nobutaka Ono, Imari Sato

More interestingly, by considering physical restrictions in the design process, we are able to realize the deeply learned spectral response functions by using modern film filter production technologies, and thus construct data-inspired multispectral cameras for snapshot hyperspectral imaging.

Spectral Reconstruction

From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping

no code implementations ICCV 2017 Yan Jia, Yinqiang Zheng, Lin Gu, Art Subpa-Asa, Antony Lam, Yoichi Sato, Imari Sato

Spectral analysis of natural scenes can provide much more detailed information about the scene than an ordinary RGB camera.

Dimensionality Reduction

Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image

no code implementations ICCV 2015 Yinqiang Zheng, Ying Fu, Antony Lam, Imari Sato, Yoichi Sato

This paper introduces a novel method to separate fluorescent and reflective components in the spectral domain.

Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising

no code implementations ICCV 2015 Ying Fu, Antony Lam, Imari Sato, Yoichi Sato

Hyperspectral imaging is beneficial in a diverse range of applications from diagnostic medicine, to agriculture, to surveillance to name a few.

Dictionary Learning Hyperspectral Image Denoising +1

Reflectance and Fluorescent Spectra Recovery based on Fluorescent Chromaticity Invariance under Varying Illumination

no code implementations CVPR 2014 Ying Fu, Antony Lam, Yasuyuki Kobashi, Imari Sato, Takahiro Okabe, Yoichi Sato

We then show that given the spectral reflectance and fluorescent chromaticity, the fluorescence absorption and emission spectra can also be estimated.

3D Reconstruction

Spectral Modeling and Relighting of Reflective-Fluorescent Scenes

no code implementations CVPR 2013 Antony Lam, Imari Sato

Hyperspectral reflectance data allows for highly accurate spectral relighting under arbitrary illumination, which is invaluable to applications ranging from archiving cultural e-heritage to consumer product design.

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