While multi-view triangulation is considered the standard for achieving 3D reconstruction from 2D correspondences with known calibration and multiple views, practical implementations often require costly setups involving numerous cameras. These setups, sometimes comprising tens or even hundreds of cameras, are necessary to attain the high-fidelity 3D reconstructions demanded by modern applications.

The Any Track technique enables the identification and tracking of specific points of interest, such as animal limbs or facial features, across video frames with minimal manual labelling. Utilizing just a few cameras, which need not be professional or precisely positioned, along with a small initial dataset requiring manual labelling, it facilitates the comprehension and reconstruction of the 3D structure of moving subjects.

• Arbitrary Pose Estimation with Minimal Setup: Capture high-fidelity 3D articulated object structures with only a few uncalibrated cameras.
• Streamlined Outlier Detection and Denoising: Automatically refine and clean data through our method that capitalizes on shape variation redundancy, ensuring accurate 2D landmark estimates.
• Innovative Label Propagation for Efficient Annotation: Drastically reduce manual labelling efforts with advanced deep optical flow, streamlining the semi-supervision process.

Any Track significantly diminishes the necessity for extensive human labour typically associated with precise video annotation. Particularly effective for capturing and analysing the movement of diverse animals and humans in natural settings, it emerges as a potent tool for research spanning entertainment, biology, and beyond. See how Any Track can work for you today!