Standardization of digitized heritage: a review of implementations of 3D in cultural heritage
The value of three-dimensional virtual objects are proven in a great variety of applications;
their flexibility allowing for a substantial amount of utilization purposes. In cultural heritage …
their flexibility allowing for a substantial amount of utilization purposes. In cultural heritage …
[PDF][PDF] Visual saliency and quality evaluation for 3D point clouds and meshes: An overview
ABSTRACT Three-dimensional (3D) point clouds (PCs) and meshes have increasingly
become available and indispensable for diversified applications in work and life. In addition …
become available and indispensable for diversified applications in work and life. In addition …
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 …
Satsal: A multi-level self-attention based architecture for visual saliency prediction
Human visual Attention modelling is a persistent interdisciplinary research challenge,
gaining new interest in recent years mainly due to the latest developments in deep learning …
gaining new interest in recent years mainly due to the latest developments in deep learning …
3D-PSSIM: Projective Structural Similarity for 3D Mesh Quality Assessment Robust to Topological Irregularities
Despite acceleration in the use of 3D meshes, it is difficult to find effective mesh quality
assessment algorithms that can produce predictions highly correlated with human subjective …
assessment algorithms that can produce predictions highly correlated with human subjective …
Convolutional neural network for 3d point cloud quality assessment with reference
In recent years, the production of 3D content in the form of point clouds (PC) has increased
considerably, especially in virtual reality applications. This enthusiasm is linked in particular …
considerably, especially in virtual reality applications. This enthusiasm is linked in particular …
Learning graph convolutional network for blind mesh visual quality assessment
This paper proposes a new method for blind mesh visual quality assessment (MVQA) based
on a graph convolutional network. For that, we address the node classification problem to …
on a graph convolutional network. For that, we address the node classification problem to …
Tdmd: A database for dynamic color mesh subjective and objective quality explorations
Dynamic colored meshes (DCM) are widely used in various applications; however, these
meshes may undergo different processes, such as compression or transmission, which can …
meshes may undergo different processes, such as compression or transmission, which can …
Representation learning optimization for 3d point cloud quality assessment without reference
Recent information and communication systems have employed 3D Point Cloud (PC) as an
advanced geometrical representation modality for immersive applications. Like most …
advanced geometrical representation modality for immersive applications. Like most …
Blind quality-based pairwise ranking of contrast changed color images using deep networks
Next-generation multimedia networks are expected to provide systems and applications with
top Quality of Experience (QoE) to users. To this end, robust quality evaluation metrics are …
top Quality of Experience (QoE) to users. To this end, robust quality evaluation metrics are …