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RGB-to-HSV: A Frequency-Spectrum Unfolding Network for Spectral Super-Resolution of RGB Videos

IEEE Transactions on Geoscience and Remote Sensing
Hyperspectral videos (HSVs) play an important role in the monitoring domain, as they can provide more information than red–green–blue (RGB) videos about the movement of interesting objects from the perspective of material interpretation.
Chengle Zhou   +3 more
semanticscholar   +1 more source

Photo forgery detection using RGB color model permutations

The Imaging Science Journal, 2022
Saurabh Agarwal, Ki-Hyun Jung
openaire   +1 more source

Transfering RGB-D Models to RGB by Multi-View Embedding Space Learning for Object Detection

2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2022
Jinde Liu, Zhang Zhang
openaire   +1 more source

Colour Detection Using HSV and RGB Colour Models

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023
Akash Harikumar   +4 more
openaire   +1 more source

A real-time hand-signs segmentation and classification system using fuzzy rule based RGB model and grid-pattern analysis

Frontiers of Computer Science, 2018
Muhammad Aminur Rahaman   +4 more
semanticscholar   +1 more source

Make 3D Cable Model from Single RGB Image

2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI), 2021
Zheming Fan   +2 more
openaire   +1 more source

Virtual Model Interaction Based on Single RGB Camera

2023 International Conference on New Trends in Computational Intelligence (NTCI), 2023
Dayu Wu   +3 more
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The biofilm life cycle: expanding the conceptual model of biofilm formation

Nature Reviews Microbiology, 2022
Karin Sauer   +2 more
exaly  

Deep Model-Based 6D Pose Refinement in RGB

2017
We present a novel approach for model-based 6D pose refinement in color data. Building on the established idea of contour-based pose tracking, we teach a deep neural network to predict a translational and rotational update. At the core, we propose a new visual loss that drives the pose update by aligning object contours, thus avoiding the definition of
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