Results 1 to 10 of about 2,792,973 (280)
3D scene graph prediction from point clouds
Virtual Reality & Intelligent Hardware, 2022 Background: In this study, we propose a novel 3D scene graph prediction approach for scene understanding from point clouds. Methods: It can automatically organize the entities of a scene in a graph, where objects are nodes and their relationships are ...
Fanfan Wu +3 more
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Unbiased 3D Semantic Scene Graph Prediction in Point Cloud Using Deep Learning
Applied Sciences, 2023 As a core task of computer vision perception, 3D scene understanding has received widespread attention. However, the current research mainly focuses on the semantic understanding task at the level of entity objects and often neglects the semantic ...
Chaolin Han +6 more
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Long-Tail Aware Cross-Modal Graph Attention Network for Fine-Grained Indoor 3D Semantic Segmentation of Point Clouds [PDF]
SensorsAccurate and efficient semantic segmentation of point cloud data is critical in many application areas involving indoor scene understanding. In particular, fine-grained object categories, high data density, and class imbalance in high-resolution indoor ...
Erdal Özbay, Feyza Altunbey Özbay
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Loop Closure with 3D Gaussian Splatting for Dynamic SLAM [PDF]
SensorsRobust pose estimation and high-fidelity scene reconstruction in dynamic environments represent core challenges in the field of Visual Simultaneous Localization and Mapping (SLAM).
Zhanwu Ma, Wansheng Cheng, Song Fan
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MONO-HYDRA: REAL-TIME 3D SCENE GRAPH CONSTRUCTION FROM MONOCULAR CAMERA INPUT WITH IMU [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The ability of robots to autonomously navigate through 3D environments depends on their comprehension of spatial concepts, ranging from low-level geometry to high-level semantics, such as objects, places, and buildings.
U. V. B. L. Udugama +2 more
doaj +1 more source
Sensors, 2021 An algorithm designed for analysis and understanding a 3D urban-type environment by an autonomous flying agent, equipped only with a monocular vision, is presented.
Andrzej Bielecki, Piotr Śmigielski
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A DISTRIBUTED BUNDLE ADJUSTMENT METHOD USING ITERATIVE MOTION AVERAGING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 With the wide use of UAVs in urban scenes making image acquisition easier, processing large-scale 3D reconstruction problems have become a basic need of the Structure from Motion (SfM) community.
L. Wu, T. Xiao, H. Li, F. Deng
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Indoor 3D Point Cloud Segmentation Based on Multi-Constraint Graph Clustering
Remote Sensing, 2022 Indoor scene point cloud segmentation plays an essential role in 3D reconstruction and scene classification. This paper proposes a multi-constraint graph clustering method (MCGC) for indoor scene segmentation. The MCGC method considers multi-constraints,
Ziwei Luo +5 more
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A surface graph based deep learning framework for large-scale urban mesh semantic segmentation
International Journal of Applied Earth Observations and Geoinformation, 2023 The acquisition of large-scale 3D urban scene by photogrammetry and remote sensing is becoming faster and easier in recent years. As one of the important steps to help machines understand scenarios, mesh semantic segmentation has received extensive ...
Yetao Yang +3 more
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An Inverse Node Graph-Based Method for the Urban Scene Segmentation of 3D Point Clouds
Remote Sensing, 2021 Urban object segmentation and classification tasks are critical data processing steps in scene understanding, intelligent vehicles and 3D high-precision maps. Semantic segmentation of 3D point clouds is the foundational step in object recognition.
Bufan Zhao +8 more
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