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20192026
most citedEvaluating Local Geometric Feature Representations for 3D Rigid Data Matching

40 citations · 40 across the 5 of their papers we have counts for

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cs.CV2026

OCA: ODE-Driven Cross-Attention for Image-to-Point-Cloud Registration

Pei An, Jiaqi Yang, Yulong Wang +2

Cross-attention is a crucial component in learning-based image-to-point-cloud (I2P) registration. Although existing cross-attention mechanisms have achieved promising progress, att…

cs.CV2024

Deep Learning for 3D Point Cloud Enhancement: A Survey

Siwen Quan, Junhao Yu, Ziming Nie +4

Point cloud data now are popular data representations in a number of three-dimensional (3D) vision research realms. However, due to the limited performance of sensors and sensing n…

cs.CV2020

On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration

Jiaqi Yang, Zhiqiang Huang, Siwen Quan +3

This paper focuses on developing efficient and robust evaluation metrics for RANSAC hypotheses to achieve accurate 3D rigid registration. Estimating six-degree-of-freedom (6-DoF) p…

cs.CV2020

3D Correspondence Grouping with Compatibility Features

Jiaqi Yang, Jiahao Chen, Zhiqiang Huang +3

We present a simple yet effective method for 3D correspondence grouping. The objective is to accurately classify initial correspondences obtained by matching local geometric descri…

cs.CV2019★ 40 cited

Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching

Jiaqi Yang, Siwen Quan, Peng Wang +1

Local geometric descriptors remain an essential component for 3D rigid data matching and fusion. The devise of a rotational invariant local geometric descriptor usually consists of…