Student’s t-uniform mixture-based robust sparse coding model for sign language recognition from thermal images

For optical vision-based systems in human–robot interaction (HRI), the recognition performance is largely affected by environmental calamities e.g., photometric hazards and spatio-structural disruptions. Accounting for this vulnerability of optical RGB cameras, we propose a far infrared thermal imag...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 246; s. 116619
Hlavní autori:	Ghosh, Saibal, Mondal, Aninda Sundar, Chatterjee, Amitava
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 31.03.2025
Predmet:	FIR thermal imaging Robust sparse coding Sign language recognition (SLR) Sparse coding residual Student’s t-distribution FIR thermal imaging Sign language recognition (SLR) Sparse coding residual Student’s t-distribution Robust sparse coding
ISSN:	0263-2241
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