RSCS6D: Keypoint Extraction-Based 6D Pose Estimation

In this work, we propose an improved network, RSCS6D, for 6D pose estimation from RGB-D images by extracting keypoint-based point clouds. Our key insight is that keypoint cloud can reduce data redundancy in 3D point clouds and accelerate the convergence of convolutional neural networks. First, we em...

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Bibliografske podrobnosti

Principais autores:	Weiyu Liu, Nan Di
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-06-01
Serija:	Applied Sciences
Teme:	6D pose estimation keypoint extraction convolutional neural network Sobel operator
Online dostop:	https://www.mdpi.com/2076-3417/15/12/6729
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