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PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points
[article]
2019
arXiv
pre-print
Detecting 3D objects from a single RGB image is intrinsically ambiguous, thus requiring appropriate prior knowledge and intermediate representations as constraints to reduce the uncertainties and improve the consistencies between the 2D image plane and the 3D world coordinate. To address this challenge, we propose to adopt perspective points as a new intermediate representation for 3D object detection, defined as the 2D projections of local Manhattan 3D keypoints to locate an object; these
arXiv:1912.07744v1
fatcat:6v6rh2uiunfwhbsokfnbcws43m