Occluded object 6D pose estimation using foreground probability compensation
Meihui Ren,
Junying Jia,
Xin Lu
Abstract:Abstract6D object pose estimation usually refers to acquiring the 6D pose information of 3D objects in the sensor coordinate system using computer vision techniques. However, the task faces numerous challenges due to the complexity of natural scenes. One of the most significant challenges is occlusion, which is an unavoidable situation in 3D scenes and poses a significant obstacle in real‐world applications. To tackle this issue, we propose a novel 6D pose estimation algorithm based on RGB‐D images, aiming for… Show more
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