Single-pixel imaging of a translational object
Shijian Li, Yan Cai, Yeliang Wang, Xu-ri Yao, and Qing Zhao

TL;DR
This paper introduces a novel single-pixel imaging method that simultaneously captures the image and relative displacement of a moving translational object at high frame rates without prior object knowledge.
Contribution
The method combines Fourier and Hadamard pattern modulation with single-pixel detection to achieve real-time imaging and tracking of moving objects without prior information.
Findings
Achieved a frame rate of 3332 Hz for imaging and tracking.
Demonstrated spatial resolution of 128x128 pixels.
Validated effectiveness through simulations and experiments.
Abstract
Image-free tracking methods based on single-pixel detectors (SPDs) can track a moving object at a very high frame rate, but they rarely can achieve simultaneous imaging of such an object. In this study, we propose a method for simultaneously obtaining the relative displacements and images of a translational object. Four binary Fourier patterns and two differential Hadamard patterns are used to modulate one frame of the object and then modulated light signals are obtained by SPD. The relative displacements and image of the moving object can be gradually obtained along with the detection. The proposed method does not require any prior knowledge of the object and its motion. The method has been verified by simulations and experiments, achieving a frame rate of 3332 Hz to acquire relative displacements of a translational object at a spatial resolution of pixels using a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRandom lasers and scattering media · Advanced Optical Sensing Technologies · Optical Coherence Tomography Applications
