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Object detection with MicrosoftHoloLens 2. A comparison between image and point cloud based algorithms

Sophie Herrmann, Ioannis Giannopoulos, Markus Kattenbeck
2021

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Object detection is a central task in computer vision, which tries to identify and locate objects in a scene.  ...  The comparison is based on one representative object detection algorithm per domain, YOLOv3 is selected as 2D algorithm, VoteNet as 3D algorithm.  ...  Here the generale quation fora veraging overa ll instancesi sg iven as presented in [Xiao et al.,2 020, p. 23768] .  ... 
doi:10.34726/hss.2021.90361 fatcat:c3komdeidrbubckifkynp2dpg4
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Sophie Herrmann, Ioannis Giannopoulos, Markus Kattenbeck. "Object detection with MicrosoftHoloLens 2. A comparison between image and point cloud based algorithms." (2021)