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Correct and Certify: A New Approach to Self-Supervised 3D-Object Perception. (arXiv:2206.11215v2 [cs.CV] UPDATED)
June 24, 2022, 1:12 a.m. | Rajat Talak, Lisa Peng, Luca Carlone
cs.CV updates on arXiv.org arxiv.org
We consider an object pose estimation and model fitting problem, where -
given a partial point cloud of an object - the goal is to estimate the object
pose by fitting a CAD model to the sensor data. We solve this problem by
combining (i) a semantic keypoint-based pose estimation model, (ii) a novel
self-supervised training approach, and (iii) a certification procedure, that
not only verifies whether the output produced by the model is correct or not,
but also flags …
More from arxiv.org / cs.CV updates on arXiv.org
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