Deep Supervised Descent Method With Multiple Seeds Generation for 3-D Tracking in Point Cloud
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DOI: 10.1109/tii.2021.3126391
Abstract: Three-dimensional (3-D) tracking in point cloud is a core competence of autonomous robots to perceive and forecast the environment. How to initialize bounding box seeds and optimize their position and orientation are very crucial for… read more here.
Keywords: point cloud; method; tracking point; deep supervised ... See more keywords