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Explore intent recognition using point clouds for enhanced precision and efficiency, incorporating foreground-background segmentation, appearance-based object recognition, and advanced human-object interaction modeling. Dive into history-based prediction and ongoing research on full-body intent recognition, RGB-D for ambient intelligence, parallel algorithms, and unsupervised feature learning.
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Point Clouds for Intent Recognition R. Kelley, A. Ambardekar, L. Wigand, M. Nicolescu, M. Nicolescu
Point Clouds for Intent Recognition • An Intent Recognition System Using: • Foreground-Background Segmentation • Appearance-Based Object Recognition • Human-Object Interaction Modeling • History-Based Prediction • Ongoing and Future Work • Full-Body Intent Recognition • RGB-D For Ambient Intelligence • Parallel Algorithms • Unsupervised Feature Learning