Results 251 to 260 of about 7,734,831 (297)

Spatial Feature Structure Generation Network for Airborne LiDAR Point Cloud Semantic Segmentation. [PDF]

Sensors (Basel)
Guo T, Tian Z, Liu X, Leng B, Mi G.
europepmc   +1 more source

Three-dimensional organ segmentation and structural phenotyping of salt-stressed coriander seedlings using the optimized point transformer-based model PTV-SegCo. [PDF]

Front Plant Sci
Wang S, Xu Y, Cheng E, Cheng J, Liu S, Xia Y, Zhang Z, Fu X.   +7 more
europepmc   +1 more source

Perception and Localization Error Propagation and Robust Path-Tracking Control for Agricultural Machinery in Hilly Orchards: A Review. [PDF]

Sensors (Basel)
Zhang Z, Wang Y, Lei H, Dong X, Jia W.
europepmc   +1 more source

MSG-Point-GAN: Multi-Scale Gradient Point GAN for Point Cloud Generation

Symmetry, 2023
The generative adversarial network (GAN) has recently emerged as a promising generative model. Its application in the image field has been extensive, but there has been little research concerning point clouds.The combination of a GAN and a graph ...
Wang Bingxu, Jinhui Lan
exaly   +2 more sources

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Learning Progressive Point Embeddings for 3D Point Cloud Generation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Generative models for 3D point clouds are extremely important for scene/object reconstruction applications in autonomous driving and robotics. Despite recent success of deep learning-based representation learning, it remains a great challenge for deep neural networks to synthesize or reconstruct high-fidelity point clouds, because of the difficulties ...
Cheng Wen 0001, Baosheng Yu, Dacheng Tao
openaire   +2 more sources

Generic Fitting in Point Clouds

2018
The demand for CAD models of the real world is constantly growing. Applications in different domains need adequate modeling. In this contribution, we describe how catalogue-based CAD models and point cloud data are represented by extended boundary graphs and use this representation to fit catalogue-based parts in a point cloud with a maximum common ...
Daniel Klawitter, Oliver Bringmann, Christian Tonn   +2 more
openaire   +1 more source

Generalizing Discrete Convolutions for Unstructured Point Clouds

CoRR, 2019
Alexandre ...
openaire   +3 more sources