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Real Time Egocentric Segmentation for Video-self Avatar in Mixed Reality
[article]
2022
arXiv
pre-print
In this work we present our real-time egocentric body segmentation algorithm. Our algorithm achieves a frame rate of 66 fps for an input resolution of 640x480, thanks to our shallow network inspired in Thundernet's architecture. Besides, we put a strong emphasis on the variability of the training data. More concretely, we describe the creation process of our Egocentric Bodies (EgoBodies) dataset, composed of almost 10,000 images from three datasets, created both from synthetic methods and real
arXiv:2207.01296v1
fatcat:ztyfklq4c5b4vnmdtijnnnryc4