In this paper, noted by the regular geometric structure of indoor scene, a biased down-sampling scheme is designed to automatically adjust the local ...
Abstract—In this paper, noted by the regular geometric structure of indoor scene, a biased down-sampling scheme is ... performance of registration for indoor ...
This paper proposes a random sample consensus (RANSAC)-based false correspondence rejection to compute accurate transformation for the registration of such 3D ...
GenReg: Deep Generative Method for Fast Point Cloud Registration [ registration ] ... Adaptive Hierarchical Down-Sampling for Point Cloud Classification ...
Jan 31, 2023 · This study proposes a simplification algorithm for point cloud data based on multi-parameter feature preservation.
Sep 27, 2022 · The objective of this work is to automatically reconstruct indoor scenes from an incomplete and noisy point-cloud base on semantics and primitives.
Feb 20, 2024 · This involves steps such as noise removal, data cleaning, down-sampling, and normalization to enhance and ensure data consistency. Later, ...
We propose a new framework to improve pairwise registration of consecutive frames using an adaptive combination of sparse 2D and 3D features.
Jun 7, 2024 · This paper presents a comprehensive review of recent progress in point cloud segmentation for understanding 3D indoor scenes.
From fine-grained to coarse-grained, indoor scene understanding mainly includes three tasks, they are semantic segmentation with point-wise label, ...
Missing: Structured Registration