Results 231 to 240 of about 3,061 (275)
Some of the next articles are maybe not open access.
Adaptive Geometry Partition for Point Cloud Compression
IEEE Transactions on Circuits and Systems for Video Technology, 2021Octree (OT) geometry partitioning has been acknowledged as an efficient representation in state-of-the-art point cloud compression (PCC) schemes. In this work, an adaptive geometry partition and coding scheme is proposed to improve the OT based coding framework.
Xiang Zhang, Wen Gao
exaly +2 more sources
A Volumetric Approach to Point Cloud Compression–Part II: Geometry Compression
IEEE Transactions on Image Processing, 2020Compression of point clouds has so far been confined to coding the positions of a discrete set of points in space and the attributes of those discrete points. We introduce an alternative approach based on volumetric functions, which are functions defined not just on a finite set of points, but throughout space.
Maja Krivokuca, Philip A Chou
exaly +3 more sources
Implicit Geometry Partition for Point Cloud Compression
2020 Data Compression Conference (DCC), 2020Octree (OT) geometry partitioning has been acknowledged as an efficient representation in state-of-the-art point cloud compression (PCC). In this work, a new geometry partition and coding scheme is proposed to improve the OT based coding framework, in which the quad-tree (QT) and binary-tree (BT) partitions are introduced.
Xiang Zhang 0004 +2 more
openaire +1 more source
Compression of point cloud geometry through a single projection
2021 Data Compression Conference (DCC), 2021Point cloud data have been put under the spotlight by many applications that play an increasingly important role in our every day lives. Their large size and ever-growing prevalent use cases have raised the interest in specialized compression algorithms for point cloud data.
Dion Eustathios Olivier Tzamarias +3 more
openaire +1 more source
Geometric Prior Based Deep Human Point Cloud Geometry Compression
IEEE Transactions on Circuits and Systems for Video TechnologyThe emergence of digital avatars has raised an exponential increase in the demand for human point clouds with realistic and intricate details. The compression of such data becomes challenging with overwhelming data amounts comprising millions of points ...
Xinju Wu, Meng Wang, Shiqi Wang
exaly +3 more sources
Geometry compression of scanned point-clouds
2010 2nd International Conference on Software Technology and Engineering, 2010Today, 3D scanners are capable of producing high resolution and accurate 3D computer models that are often used for entertainment, industrial, and scientific purposes. Because such models may contain a huge amount of points, their storage is expansive, their loading is slow, and their transmission over the internet is impossibly slow.
Domen Mongus +3 more
openaire +1 more source
Temporal Conditional Coding for Dynamic Point Cloud Geometry Compression
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Point clouds allow for the representation of 3D multimedia content as a set of disconnected points in space. Their inher- ent irregular geometric nature poses a challenge to efficient compression, a critical operation for both storage and trans- mission.
Bowen Huang +2 more
openaire +2 more sources
A Syndrome-Based Autoencoder For Point Cloud Geometry Compression
2020 IEEE International Conference on Image Processing (ICIP), 2020Point cloud compression has been extensively-investigated in the past twenty years to find effective solutions that reduce the coded bit stream and permits adapting the coded bit rate to different scenarios. Despite these efforts, predictive strategies have so far performed poorly because of the low correlation level of the input data and the ...
openaire +1 more source
3D Point Cloud Geometry Compression on Deep Learning
Proceedings of the 27th ACM International Conference on Multimedia, 20193D point cloud presentation has been widely used in computer vision, automatic driving, augmented reality, smart cities and virtual reality. 3D point cloud compression method with higher compression ratio and tiny loss is the key to improve data transportation efficiency.
Tianxin Huang, Yong Liu 0007
openaire +1 more source
Lossy Point Cloud Geometry Compression Via Dyadic Decomposition
2020 IEEE International Conference on Image Processing (ICIP), 2020This paper proposes a lossy intra-frame coder of the geometry information of voxelized point clouds. Using an alternative approach to the widespread octree representation, this method represents the point cloud as an array of binary images. This algorithm works recursively using a dyadic decomposition that splits an interval of slices in two smaller ...
Davi Rabbouni Freitas +3 more
openaire +1 more source