March 14, 2024, 4:45 a.m. | Alzayat Saleh, Alex Olsen, Jake Wood, Bronson Philippa, Mostafa Rahimi Azghadi

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.08142v1 Announce Type: new
Abstract: Shadows significantly impact computer vision tasks, particularly in outdoor environments. State-of-the-art shadow removal methods are typically too computationally intensive for real-time image processing on edge hardware. We propose ShadowRemovalNet, a novel method designed for real-time image processing on resource-constrained hardware. ShadowRemovalNet achieves significantly higher frame rates compared to existing methods, making it suitable for real-time computer vision pipelines like those used in field robotics. Beyond speed, ShadowRemovalNet offers advantages in efficiency and simplicity, as it …

abstract art arxiv computer computer vision cs.cv edge environments hardware image image processing impact novel processing real-time shadow state tasks type vision

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