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Found 5 papers, 3 papers with code
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Non-isometric shape correspondence remains a fundamental challenge in computer vision.
On the Localization of Ultrasound Image Slices within Point Distribution Models
We demonstrate that our multi-modal registration framework can localize images on the 3D surface topology of a patient-specific organ and the mean shape of an SSM.
DisguisOR: Holistic Face Anonymization for the Operating Room
Methods: RGB and depth images from multiple cameras are fused into a 3D point cloud representation of the scene.
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
Statistical shape models (SSMs) are an established way to represent the anatomy of a population with various clinically relevant applications.
Know your sensORs -- A Modality Study For Surgical Action Classification
Existing datasets from OR room cameras are thus far limited in size or modalities acquired, leaving it unclear which sensor modalities are best suited for tasks such as recognizing surgical action from videos.
