FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition

1 code implementation • 14 Jan 2024 • Ehsan Miandji, Tanaboon Tongbuasirilai, Saghi Hajisharif, Behnaz Kavoosighafi, Jonas Unger

In this paper, we formulate BRDF acquisition as a compressed sensing problem, where the sensing operator is one that performs sub-sampling of the BRDF signal according to a set of optimal sample directions.

Affective EEG-Based Person Identification Using the Deep Learning Approach

no code implementations • 5 Jul 2018 • Theerawit Wilaiprasitporn, Apiwat Ditthapron, Karis Matchaparn, Tanaboon Tongbuasirilai, Nannapas Banluesombatkul, Ekapol Chuangsuwanich

\textcolor{red}{We proposed a cascade of deep learning using a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)}.

EEG Person Identification