m3omzekar
@m3omzekar
Figuring out how handheld objects are positioned is tough but key for robots and vision tech. Using both RGB and depth data helps, but hand blockages and merging data types remain tricky. A new study tackles this with a smart deep learning setup. It uses a fresh voting method to blend data and a special module to handle hand-related pose guesses.
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