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Document type:
Konferenzbeitrag
Author(s):
Wang, G.; Manhardt, F.; Tombari, F.; Ji, X.
Title:
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimationi
Abstract:
6D pose estimation from a single RGB image is a fundamental task in computer vision. The current top-performing deep learning-based methods rely on an indirect strategy, i.e., first establishing 2D-3D correspondences between the coordinates in the image plane and object coordinate system, and then applying a variant of the PnP/RANSAC algorithm. However, this two-stage pipeline is not end-to-end trainable, thus is hard to be employed for many tasks requiring differentiable poses. On the other han...    »
Keywords:
ECCV,CAMP,CAMPComputerVision,ComputerVision,Rigid3DObjectDetection
Book / Congress title:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year:
2021
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