Image-free object detection from single-pixel measurements with learned binary patterns

Sheng Liu; Yan Liu; Jungang Yang; Liang Zhang; Jianqian Tao; Kangyi Zhang; Zhilei Ren

doi:10.1117/12.3046318

13 December 2024 Image-free object detection from single-pixel measurements with learned binary patterns

Sheng Liu, Yan Liu, Jungang Yang, Liang Zhang, Jianqian Tao, Kangyi Zhang, Zhilei Ren

Proceedings Volume 13501, AOPC 2024: Computational Imaging Technology; 1350107 (2024) https://doi.org/10.1117/12.3046318
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Single-pixel imaging (SPI) is a novel technique that captures 2D images using a programmable spatial light modulator (SLM) and a single-pixel detector, instead of conventional 2D array sensors. The image can be reconstructed from the modulation patterns and corresponding 1D bucket measurements. Conventional object detection is performed after a reconstructed image with high fidelity is available. In this paper, an image-free object detection method using the single-pixel measurements is proposed. We designed and trained an end-to-end convolutional neural network to encode and decode a scene for image-free object detection application. The performance of the proposed method is demonstrated using part data from the Voc dataset, which achieves a detection accuracy of 35.41% mAP at a sampling rate below 1.6%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sheng Liu, Yan Liu, Jungang Yang, Liang Zhang, Jianqian Tao, Kangyi Zhang, and Zhilei Ren "Image-free object detection from single-pixel measurements with learned binary patterns", Proc. SPIE 13501, AOPC 2024: Computational Imaging Technology, 1350107 (13 December 2024); https://doi.org/10.1117/12.3046318

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KEYWORDS

Object detection

Binary data

Modulation

Education and training

Digital micromirror devices

Image classification

Spatial light modulators

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