GNC-Pose achieves competitive 6D pose accuracy on the YCB dataset for textured objects using only geometric priors, rendering initialization, and robust GNC optimization without any learned features or training data.
In: Proceedings of the IEEE/CVF International Conference on Computer Vision
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GNC-Pose: Geometry-Aware GNC-PnP for Accurate 6D Pose Estimation
GNC-Pose achieves competitive 6D pose accuracy on the YCB dataset for textured objects using only geometric priors, rendering initialization, and robust GNC optimization without any learned features or training data.