Results 31 to 40 of about 6,391,115 (351)
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
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
Attention-Based Point Cloud Edge Sampling [PDF]
Computer Vision and Pattern Recognition, 2023 Point cloud sampling is a less explored research topic for this data representation. The most commonly used sampling methods are still classical random sampling and farthest point sampling.
Chengzhi Wu +3 more
semanticscholar +1 more source
A Method for Supervisory Control of Manipulator of Underwater Vehicle
Journal of Marine Science and Engineering, 2021 A novel method for supervisory control of multilink manipulators mounted on underwater vehicles is considered. This method is designed to significantly increase the level of automation of manipulative operations, by the building of motion trajectories ...
Alexander Konoplin +2 more
doaj +1 more source
Sensors, 2022 As one of the best means of obtaining the geometry information of special shaped structures, point cloud data acquisition can be achieved by laser scanning or photogrammetry.
Xinming Pu +3 more
doaj +1 more source
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud [PDF]
Computer Vision and Pattern Recognition, 2018 In this paper, we propose PointRCNN for 3D object detection from raw point cloud. The whole framework is composed of two stages: stage-1 for the bottom-up 3D proposal generation and stage-2 for refining proposals in the canonical coordinates to obtain ...
Shaoshuai Shi +2 more
semanticscholar +1 more source
Self-Positioning Point-Based Transformer for Point Cloud Understanding [PDF]
Computer Vision and Pattern Recognition, 2023 Transformers have shown superior performance on various computer vision tasks with their capabilities to capture long-range dependencies. Despite the success, it is challenging to directly apply Transformers on point clouds due to their quadratic cost in
Jinyoung Park +4 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
MPCR-Net: Multiple Partial Point Clouds Registration Network Using a Global Template
Applied Sciences, 2021 With advancements in photoelectric technology and computer image processing technology, the visual measurement method based on point clouds is gradually being applied to the 3D measurement of large workpieces. Point cloud registration is a key step in 3D
Shijie Su +4 more
doaj +1 more source
A partial overlapping point cloud registration method based on dynamic feature matching
Dianxin kexue, 2021 The point cloud registration method can effectively complete the registration of point clouds with different overlap rates and various sizes, and ensure the accuracy of the 3D reconstruction model.To address the above issues, a partial overlapping point ...
Hui DU +3 more
doaj +2 more sources