June 6, 2024, 4:49 a.m. | Xingjian Yang, Zhitao Yu, Ashis G. Banerjee

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.02977v1 Announce Type: new
Abstract: As robotics and augmented reality applications increasingly rely on precise and efficient 6D object pose estimation, real-time performance on edge devices is required for more interactive and responsive systems. Our proposed Sparse Color-Code Net (SCCN) embodies a clear and concise pipeline design to effectively address this requirement. SCCN performs pixel-level predictions on the target object in the RGB image, utilizing the sparsity of essential object geometry features to speed up the Perspective-n-Point (PnP) computation process. …

abstract applications arxiv augmented reality clear code color cs.cv cs.ro design devices edge edge devices interactive object performance pipeline reality real-time responsive robotics systems type

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