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2. SpecTrack: Learned Multi-Rotation Tracking via Speckle Imaging
 
 # SpecTrack: Learned Multi-Rotation Tracking via Speckle Imaging

  ![](/sites/default/files/styles/wide/public/publications/spec_track_lightpath.png?itok=2oB_hpWn)

 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 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 of 0.31∘ (std=0.43∘) , significantly outperforming state-of-the-art approaches and improving accuracy up to 200%.



 ## Authors



Ziyang Chen (University College London)

Doğa Doğan (Adobe Research)

[Josef Spjut](/person/josef-spjut)

Kaan Akşit (University College London)

 

 

 ## Publication Date



Monday, December 2, 2024

 

 ## Published in



[SIGGRAPH Asia Posters](https://dl.acm.org/doi/proceedings/10.1145/3681756)

 

 ## Research Area



[Human Computer Interaction](/research-area/human-computer-interaction)

[VR, AR and Display Technology](/research-area/virtual-augmented-reality)

 

 

 ## External Links



[Project Page](https://complightlab.com/publications/spec_track/)

[code](https://github.com/complight/SpecTrack)

 

 

 ## Uploaded Files



[paper](https://d1qx31qr3h6wln.cloudfront.net/publications/ChenEtAl_SigAsia2024_Abstract_spectrack_learned_multi_rotation_tracking_via_speckle_imaging.pdf "Open file in new window")723.74 KB

[poster](https://d1qx31qr3h6wln.cloudfront.net/publications/ChenEtAl_SigAsia2024_Poster_spectrack_learned_multi_rotation_tracking_via_speckle_imaging.pdf "Open file in new window")4 MB

 

 

 ## Award



Honorable Mention

 

 

 ## Copyright



Copyright by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or <permissions@acm.org>. The definitive version of this paper can be found at ACM's Digital Library <http://www.acm.org/dl/>.