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Topology-Aware Flow-Based Point Cloud Generation

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Takumi Kimura   +2 more
exaly   +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   +2 more
openaire   +1 more source

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, Baosheng Yu, Dacheng Tao
openaire   +1 more source

Orthophoto Generation from Unorganized Point Clouds

Photogrammetric Engineering & Remote Sensing, 2007
The reconstruction of realistic precise surfaces is required in many different applications. To date, terrestrial laser scanning offers 3D input data which are suitable for surface generation but are lacking in photo-realistic appearance. Texture for scanned surfaces can be provided by orthophotos generated from photographs that are acquired from ...
L. Tournas, M. Tsakiri
openaire   +1 more source

3D hyperspectral point cloud generation

2019
Remote Sensing technologies allow to map biophysical, biochemical, and earth surface parameters of the land surface. Of especial interest for various applications in environmental and urban sciences is the combination of spectral and 3D elevation information.
Brell, Maximilian (Dr.)   +3 more
openaire   +1 more source

FOG: Fast Octree Generator for LiDAR Point Clouds

IEEE Sensors Letters
As the need for realistic and immersive 3-D representations of the environment continues to increase across various industries, finding efficient ways to represent data has become paramount. A well-known approach to partitioning 3-D space into a structured data format is the use of octrees, primarily due to their efficiency in handling both sparse and ...
Ricardo Roriz   +3 more
openaire   +2 more sources

Optimal Point-to-Point geodesic path generation on point clouds

Computer-Aided Design, 2023
Alexander Agathos, Philip Azariadis
openaire   +1 more source

C2FNet: A Coarse-to-Fine Network for Multi-View 3D Point Cloud Generation

IEEE Transactions on Image Processing, 2022
Jianjun Lei, Bo Peng, Wanqing Li
exaly  

PCT: Point cloud transformer

Computational Visual Media, 2021
Jun-Xiong Cai   +2 more
exaly  

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