Results 41 to 50 of about 5,609,782 (360)
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance [PDF]
, 2020 We introduce a new deep learning method for point cloud comparison. Our approach, named Deep Point Cloud Distance (DPDist), measures the distance between the points in one cloud and the estimated surface from which the other point cloud is sampled. The surface is estimated locally and efficiently using the 3D modified Fisher vector representation.
Yizhak Ben-Shabat +2 more
openaire +4 more sources
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency [PDF]
Computer Vision and Pattern Recognition, 2021 Removing outlier correspondences is one of the critical steps for successful feature-based point cloud registration. Despite the increasing popularity of introducing deep learning techniques in this field, spatial consistency, which is essentially ...
Xuyang Bai +7 more
semanticscholar +1 more source
POINT CLOUD SERVER (PCS) : POINT CLOUDS IN-BASE MANAGEMENT AND PROCESSING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Abstract. In addition to the traditional Geographic Information System (GIS) data such as images and vectors, point cloud data has become more available. It is appreciated for its precision and true three-Dimensional (3D) nature. However, managing the point cloud can be difficult due to scaling problems and specificities of this data type.
Nicolas Paparoditis +2 more
openaire +4 more sources
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis [PDF]
IEEE International Conference on Computer Vision, 2021 Discrete point cloud objects lack sufficient shape descriptors of 3D geometries. In this paper, we present a novel method for aggregating hypothetical curves in point clouds.
Tiange Xiang +4 more
semanticscholar +1 more source
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer [PDF]
Computer Vision and Pattern Recognition, 2023 Transformer, as an alternative to CNN, has been proven effective in many modalities (e.g., texts and images). For 3D point cloud transformers, existing efforts focus primarily on pushing their accuracy to the state-of-the-art level.
Zhijian Liu +4 more
semanticscholar +1 more source
Self-Supervised Pretraining of 3D Features on any Point-Cloud [PDF]
IEEE International Conference on Computer Vision, 2021 Pretraining on large labeled datasets is a prerequisite to achieve good performance in many computer vision tasks like image recognition, video understanding etc.
Zaiwei Zhang +3 more
semanticscholar +1 more source
Indonesian Journal of Chemistry, 2021 This study describes preparation a new series of tetra-dentate N2O2 dinuclear complexes Cr(III), Co(II)and Cu(II) of the Schiff base 2-[5-(2-hydroxy-phenyl)-1,3,4-thiadiazol-2-ylimino]-methyl-naphthalen-1-ol], (LH2) derived from 1-hydroxy-naphthalene-2 ...
Naser Shaalan +2 more
doaj +1 more source
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation [PDF]
Computer Vision and Pattern Recognition, 2023 The goal of open-vocabulary detection is to identify novel objects based on arbitrary textual descriptions. In this paper, we address open-vocabulary 3D point-cloud detection by a dividing-and-conquering strategy, which involves: 1) developing a point ...
Yuheng Lu +6 more
semanticscholar +1 more source
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer [PDF]
IEEE International Conference on Computer Vision, 2021 Point cloud completion aims to predict a complete shape in high accuracy from its partial observation. However, previous methods usually suffered from discrete nature of point cloud and unstructured prediction of points in local regions, which makes it ...
Peng Xiang +6 more
semanticscholar +1 more source
Real3D-AD: A Dataset of Point Cloud Anomaly Detection [PDF]
Neural Information Processing Systems, 2023 High-precision point cloud anomaly detection is the gold standard for identifying the defects of advancing machining and precision manufacturing. Despite some methodological advances in this area, the scarcity of datasets and the lack of a systematic ...
Jiaqi Liu +7 more
semanticscholar +1 more source