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Objective Quality Assessment of Point Clouds Using Multi-scale Implicit Structural Similarity
Zhang Chen, Shuai Wan, Yuezhe Zhang +3
The unstructured and irregular nature of points poses a significant challenge for accurate point cloud quality assessment (PCQA), particularly in establishing accurate perceptual f…
Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
Wanhao Ma, Wei Zhang, Shuai Wan +1
Geometry-based point cloud compression (G-PCC), an international standard designed by MPEG, provides a generic framework for compressing diverse types of point clouds while ensurin…
RBFIM: Perceptual Quality Assessment for Compressed Point Clouds Using Radial Basis Function Interpolation
Zhang Chen, Shuai Wan, Siyu Ren +3
One of the main challenges in point cloud compression (PCC) is how to evaluate the perceived distortion so that the codec can be optimized for perceptual quality. Current standard…
PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network
Saiping Zhang, Luis Herranz, Marta Mrak +3
In this paper we propose a generative adversarial network (GAN) framework to enhance the perceptual quality of compressed videos. Our framework includes attention and adaptation to…
Light field Rectification based on relative pose estimation
Xiao Huo, Dongyang Jin, Saiping Zhang +1
Hand-held light field (LF) cameras have unique advantages in computer vision such as 3D scene reconstruction and depth estimation. However, the related applications are limited by…
A Two-step Calibration Method for Unfocused Light Field Camera Based on Projection Model Analysis
Dongyang Jin, Saiping Zhang, Xiao Huo +2
Accurately calibrating light field camera is essential to its applications. Rapid progress has been made in this area in the past decades. In this paper, detailed analysis was firs…