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Survey on deep learning-based point cloud compression
Point clouds are becoming essential in key applications with advances in capture
technologies leading to large volumes of data. Compression is thus essential for storage …
technologies leading to large volumes of data. Compression is thus essential for storage …
Deep learning based computer vision under the prism of 3D point clouds: a systematic review
Point clouds consist of 3D data points and are among the most considerable data formats for
3D representations. Their popularity is due to their broad application areas, such as robotics …
3D representations. Their popularity is due to their broad application areas, such as robotics …
Deep learning-based quality assessment of 3d point clouds without reference
Point cloud (PC) quality assessment is of fundamental importance to enable the efficient
processing, coding and transmission of 3D data for virtual/augmented reality, autonomous …
processing, coding and transmission of 3D data for virtual/augmented reality, autonomous …
Textured mesh quality assessment: Large-scale dataset and deep learning-based quality metric
Over the past decade, three-dimensional (3D) graphics have become highly detailed to
mimic the real world, exploding their size and complexity. Certain applications and device …
mimic the real world, exploding their size and complexity. Certain applications and device …
PointPCA: Point cloud objective quality assessment using PCA-based descriptors
Point clouds denote a prominent solution for the representation of 3D photo-realistic content
in immersive applications. Similarly to other imaging modalities, quality predictions for point …
in immersive applications. Similarly to other imaging modalities, quality predictions for point …
Pavement crack detection through a deep-learned asymmetric encoder-decoder convolutional neural network
Crack detection on roads' surfaces is an important issue in pavement management, as it
provides an indication of the quality of the road and its deterioration over time. Pavement …
provides an indication of the quality of the road and its deterioration over time. Pavement …
Crafting the MPEG metrics for objective and perceptual quality assessment of volumetric videos
Efficient objective and perceptual metrics are valuable tools to evaluate the visual impact of
compression artifacts on the visual quality of volumetric videos (VVs). In this paper, we …
compression artifacts on the visual quality of volumetric videos (VVs). In this paper, we …
New challenges in point cloud visual quality assessment: a systematic review
The compression, transmission and rendering of point clouds is essential for many use
cases, notably immersive experience settings in eXtended Reality, telepresence and real …
cases, notably immersive experience settings in eXtended Reality, telepresence and real …
Point cloud quality assessment using multi-level features
J Lv, H Su, J Long, J Fang, D Duan, L Zhu… - IEEE Access, 2024 - ieeexplore.ieee.org
Recently, point clouds have emerged as a promising research direction for representing 3D
visual data in various immersive applications, including augmented reality, self-driving cars …
visual data in various immersive applications, including augmented reality, self-driving cars …
Towards a multiscale point cloud structural similarity metric
Point clouds are effective data structures for the representation of three-dimensional media
and hence adopted in a wide range of practical applications. In many cases, the portrayed …
and hence adopted in a wide range of practical applications. In many cases, the portrayed …