Chen, Z;
Dogan, M;
Spjut, J;
Akşit, K;
(2024)
SpecTrack: Learned Multi-Rotation Tracking via Speckle Imaging.
In:
SA '24: SIGGRAPH Asia 2024 Posters.
(pp. pp. 1-2).
ACM (Association for Computing Machinery): Tokyo, Japan.
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Abstract
Precision pose detection is increasingly demanded in fields such as personal fabrication, Virtual Reality (VR), and robotics due to its critical role in ensuring accurate positioning information. However, conventional vision-based systems used in these systems often struggle with achieving high precision and accuracy, particularly when dealing with complex environments or fast-moving objects. To address these limitations, we investigate Laser Speckle Imaging (LSI), an emerging optical tracking method that offers promising potential for improving pose estimation accuracy. Specifically, our proposed LSI-Based Tracking (SpecTrack) leverages the captures from a lensless camera and a retro-reflector marker with a coded aperture to achieve multi-axis rotational pose estimation with high precision. Our extensive trials using our in-house built testbed have shown that SpecTrack achieves an accuracy and of 0.31° (std = 0.43°), significantly outperforming state-of-the-art approaches and improving accuracy up to .
| Type: | Proceedings paper |
|---|---|
| Title: | SpecTrack: Learned Multi-Rotation Tracking via Speckle Imaging |
| Event: | SA '24: SIGGRAPH Asia 2024 Posters |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3681756.3697875 |
| Publisher version: | https://doi.org/10.1145/3681756.3697875 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10204362 |
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