Abstract: Sampling theory in fractional Fourier Transform (FrFT) domain has been studied extensively in the last decades. This interest stems from the ability of the FrFT to generalize the traditional ...
Abstract: Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose significant threats to networked systems, causing disruptions that can lead to substantial financial ...
Abstract: Point Clouds (PCs) are vital for accurate 3D modeling of the real world, yet distortions during transmission and generation impact their quality. Developing No-Reference Point Cloud Quality ...
Abstract: With the focus on three-dimensional (3D) applications, the importance of applying deep learning to point clouds have been growing recently. It is known that mapping operations including ...
Abstract: Local sampling plays a key role in modeling 3D point clouds. Due to the disordered and unstructured nature of point cloud data, conventional 3D deep models such as PointNet++ and its ...
Abstract: We propose an end-to-end attribute compression method for dense point clouds. The proposed method combines a frequency sampling module, an adaptive scale feature extraction module with ...
Hosted on MSN
Photoshop tutorial: Vanishing point!
Photoshop cc tutorial showing how to use the Vanishing Point filter to place logos and other images in perspective onto photographs. Why Congress can't claw back war powers from Trump Latest weather ...
Abstract: Given that the sampling and arrangement of the array need a reasonable standard to guide in high-precision magnetocardiography (MCG) imaging, the sampling range required for robust ...
Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results