Results 11 to 20 of about 7,665,845 (335)
Sparse Tensor-Based Multiscale Representation for Point Cloud Geometry Compression [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 This study develops a unified Point Cloud Geometry (PCG) compression method through the processing of multiscale sparse tensor-based voxelized PCG. We call this compression method SparsePCGC.
Jianqiang Wang +5 more
semanticscholar +1 more source
Variable Rate Point Cloud Geometry Compression Method
Sensors, 2023 With the development of 3D sensors technology, 3D point cloud is widely used in industrial scenes due to their high accuracy, which promotes the development of point cloud compression technology.
Lehui Zhuang +3 more
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GEOMETRY-BASED POINT CLOUD CLASSIFICATION USING HEIGHT DISTRIBUTIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Semantic segmentation is one of the main steps in the processing chain for Airborne Laser Scanning (ALS) point clouds, but it is also one of the most labour intensive steps, as it requires many labelled examples to train a classifier.
F. Politz, M. Sester, C. Brenner
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Inter-Frame Compression for Dynamic Point Cloud Geometry Coding [PDF]
IEEE Transactions on Image Processing, 2022 Efficient point cloud compression is essential for applications like virtual and mixed reality, autonomous driving, and cultural heritage. This paper proposes a deep learning-based inter-frame encoding scheme for dynamic point cloud geometry compression.
Anique Akhtar, Zhu Li, G. Van der Auwera
semanticscholar +1 more source
Iterative Geometry Encoding Volume for Stereo Matching [PDF]
Computer Vision and Pattern Recognition, 2023 Recurrent All-Pairs Field Transforms (RAFT) has shown great potentials in matching tasks. However, all-pairs correlations lack non-local geometry knowledge and have difficulties tackling local ambiguities in ill-posed regions.
Gangwei Xu +3 more
semanticscholar +1 more source
TransPCGC: Point Cloud Geometry Compression Based on Transformers
Algorithms, 2023 Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges.
Shiyu Lu, Huamin Yang, Cheng Han
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Joint Geometry and Color Projection-Based Point Cloud Quality Metric
IEEE Access, 2022 Point cloud coding solutions have been recently standardized to address the needs of multiple application scenarios. The design and assessment of point cloud coding methods require reliable objective quality metrics to evaluate the level of degradation ...
Alireza Javaheri +3 more
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CLUSTERING OF WALL GEOMETRY FROM UNSTRUCTURED POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is retrieving the proper observations for each object. After segmenting and classifying the initial point cloud, the
M. Bassier, M. Vergauwen
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Point Cloud Geometry Compression Based on Multi-Layer Residual Structure
Entropy, 2022 Point cloud data are extensively used in various applications, such as autonomous driving and augmented reality since it can provide both detailed and realistic depictions of 3D scenes or objects.
Jiawen Yu +4 more
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Joint Geometry and Color Point Cloud Denoising Based on Graph Wavelets
IEEE Access, 2021 A point cloud is an effective 3D geometrical presentation of data paired with different attributes such as transparency, normal and color of each point. The imperfect acquisition process of a 3D point cloud usually generates a significant amount of noise.
Muhammad Abeer Irfan, Enrico Magli
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