Results 81 to 90 of about 6,545,527 (327)
Topological Point Cloud Clustering
, 2023 Accepted at the 40th International Conference on Machine Learning (ICML), 2023.
Grande, Vincent P., Schaub, Michael T.
openaire +3 more sources
Projection-Based Point Convolution for Efficient Point Cloud Segmentation
IEEE Access, 2022 Understanding point cloud has recently gained huge interests following the development of 3D scanning devices and the accumulation of large-scale 3D data.
Pyunghwan Ahn +4 more
doaj +1 more source
DENOISING OF 3D POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Abstract. A method to remove random errors from 3D point clouds is proposed. It is based on the estimation of a local geometric descriptor of each point. For mobile mapping LiDAR and airborne LiDAR, a combined standard mesurement uncertainty of the LiDAR system may supplement a geometric approach.
E. Mugner, N. Seube
openaire +4 more sources
Multistage Adaptive Point-Growth Network for Dense Point Cloud Completion
Remote Sensing, 2022 The point cloud data from actual measurements are often sparse and incomplete, making it difficult to apply them directly to visual processing and 3D reconstruction.
Ruidong Hao +6 more
doaj +1 more source
Dynamic Adaptive Point Cloud Streaming
, 2019 High-quality point clouds have recently gained interest as an emerging form of representing immersive 3D graphics. Unfortunately, these 3D media are bulky and severely bandwidth intensive, which makes it difficult for streaming to resource-limited and ...
Hosseini, Mohammad, Timmerer, Christian
core +1 more source
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
, 2019 Generating 3D point clouds is challenging yet highly desired. This work presents a novel autoregressive model, PointGrow, which can generate diverse and realistic point cloud samples from scratch or conditioned on semantic contexts.
Liu, Ziwei +4 more
core +1 more source
Modeling of the optimal component composition of biodiesel fuel
Аграрная наука Евро-Северо-Востока, 2020 The article presents the results of study to determine the component composition of rape-based biodiesel. Modeling of the optimal component composition taking into account low-temperature properties and cetane number was carried out.
D. V. Varnakov +2 more
doaj +1 more source
Molecular Oncology, EarlyView.The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens +8 more
wiley +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Sequential Point Clouds: A Survey [PDF]
arXiv, 2022 Point cloud has drawn more and more research attention as well as real-world applications. However, many of these applications (e.g. autonomous driving and robotic manipulation) are actually based on sequential point clouds (i.e. four dimensions) because the information of the static point cloud data could provide is still limited.
arxiv