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LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
April 4, 2024, 4:46 a.m. | Haoyang Ge, Qiao Feng, Hailong Jia, Xiongzheng Li, Xiangjun Yin, You Zhou, Jingyu Yang, Kun Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Human pose and shape (HPS) estimation with lensless imaging is not only beneficial to privacy protection but also can be used in covert surveillance scenarios due to the small size and simple structure of this device. However, this task presents significant challenges due to the inherent ambiguity of the captured measurements and lacks effective methods for directly estimating human pose and shape from lensless data. In this paper, we propose the first end-to-end framework to …
abstract arxiv challenges cs.cv however human imaging privacy protection simple small surveillance type
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