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Pain Intensity Estimation from Mobile Video Using 2D and 3D Facial Keypoints
Our contributions are adata collection study with post-surgical patients to collect ground-truth labeled sequences of 2D and 3D facial keypoints for developing a pain estimation algorithm, a pain estimation model that uses multiple instance learning to overcome inherent limitations in facial keypoint sequences, and the preliminary results of the pain estimation model using 2D and 3D features with comparisons of alternate approaches.
Combining Deep Learning with Geometric Features for Image based Localization in the Gastrointestinal Tract
Considering these, we propose a novel approach to combine DL method with traditional feature based approach to achieve better localization with small training data.
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