- Sparse Clouds 的研究
clouds from few sparse 3D points, improving object detection in autonomous driving and robotics. It seamlessly integrates with existing systems, promising advancements in the field of robotics. …
Sparse Point Clouds Assisted Learned Image Compression
2024年12月26日 · In this paper, motivated by the recent success of learned image compression, we propose a new framework that uses sparse point clouds to assist in learned image …
[2204.10603] Reconstructing Surfaces for Sparse Point Clouds with …
2022年4月22日 · To resolve this issue, we propose to reconstruct highly accurate surfaces from sparse point clouds with an on-surface prior. We train a neural network to learn SDFs via …
GitHub - stevewongv/Sparse2Dense: Sparse2Dense: Learning to …
- LiDAR-produced point clouds are the major source for most state-of-the-art 3D object detectors. Yet, small, distant, and incomplete objects with sparse or few points are often hard to detect. We present Sparse2Dense, a new framework to efficiently boost 3D detection performance by learning to densify point clouds in latent space. Specifically, we f...
Multi-scale sparse convolution and point convolution adaptive …
3 天之前 · Therefore, when applied to nuScenes dataset with sparse point cloud distribution and complex scenes, the method proposed in this paper still has high segmentation performance. …
DenseSphere: Multimodal 3D object detection under a sparse …
2024年10月1日 · The low PPS specification can generate a sparse point cloud. In this case, the existing models trained on dense data with a high PPS specification cannot achieve optimal …
Sparse Regularization-Based Approach for Point Cloud …
2020年6月5日 · In this paper, we present a new model to reconstruct and smooth point clouds that combine L1-median filtering with sparse L1 regularization for both denoising the normal vectors and updating the position of the points to …
Instance Segmentation of Sparse Point Clouds with …
2024年4月17日 · In our application scenario, we use 16-line LiDAR (sparse point clouds) and propose a sparse point clouds instance segmentation method based on spatio-temporal encoding and decoding for autonomous robots in dynamic …
Shape-aware surface reconstruction from sparse 3D point-clouds
2017年5月1日 · Our main contribution of this work is the introduction of a surface-based SSM fitting procedure in order to reconstruct a surface from a sparse 3D point-cloud. Using a point …
Sparse point cloud registration and aggregation with mesh‐based ...
2021年8月31日 · Sparse or non-uniform point clouds can be very challenging to register, even in ideal environments. Previous research by Holz et al. has developed a mesh-based extension …
