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- W4315706686 abstract "Tracking the 3D shape of a deforming object using only monocular 2D vision is a challenging problem. This is because one should (i) infer the 3D shape from a 2D image, which is a severely underconstrained problem, and (ii) implement the whole solution pipeline in real-time. The pipeline typically requires feature detection and matching, mismatch filtering, 3D shape inference and feature tracking algorithms. We propose ROBUSfT, a conventional pipeline based on a template containing the object's rest shape, texturemap and deformation law. ROBUSfT is ready-to-use, wide-baseline, capable of handling large deformations, fast up to 30 fps, free of training, and robust against partial occlusions and discontinuity in video frames. It outperforms the state-of-the-art methods in challenging datasets. ROBUSfT is implemented as a publicly available C++ library and we provide a tutorial on how to use it in https://github.com/mrshetab/ROBUSfT" @default.
- W4315706686 created "2023-01-12" @default.
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- W4315706686 date "2023-01-10" @default.
- W4315706686 modified "2023-10-17" @default.
- W4315706686 title "ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library" @default.
- W4315706686 doi "https://doi.org/10.48550/arxiv.2301.04037" @default.
- W4315706686 hasPublicationYear "2023" @default.
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