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Code replicability in computer graphics [PDF]
ACM Transactions on Graphics, 2020Being able to duplicate published research results is an important process of conducting research whether to build upon these findings or to compare with them. This process is called "replicability" when using the original authors' artifacts (e.g., code), or "reproducibility" otherwise (e.g., re-implementing algorithms).
Bonneel, Nicolas+3 more
openaire +8 more sources
Perception, 1979
Exam paper for second semester: Computer ...
University of Johannesburg
core +10 more sources
Exam paper for second semester: Computer ...
University of Johannesburg
core +10 more sources
Tehnički Glasnik, 2018
In this article, the usage of matrices and matrix operations in computer graphics is shown. A brief overview of geometric transformations in computer graphics is given.
Nataša Lončarić+2 more
doaj +3 more sources
In this article, the usage of matrices and matrix operations in computer graphics is shown. A brief overview of geometric transformations in computer graphics is given.
Nataša Lončarić+2 more
doaj +3 more sources
Development of Innovative Neurosurgical Operation Support Method Using Mixed-Reality Computer Graphics [PDF]
World Neurosurgery: X, 2021Background: In neurosurgery, it is important to inspect the spatial correspondence between the preoperative medical image (virtual space), and the intraoperative findings (real space) to improve the safety of the surgery.
Tsukasa Koike+11 more
doaj +2 more sources
Neurosymbolic Models for Computer Graphics [PDF]
Computer graphics forum (Print), 2023Procedural models (i.e. symbolic programs that output visual data) are a historically‐popular method for representing graphics content: vegetation, buildings, textures, etc.
Daniel Ritchie+6 more
semanticscholar +1 more source
IEEE Access, 2022
Deep neural networks have rapidly become the mainstream method for face recognition (FR). However, this limits the deployment of such models that contain an extremely large number of parameters to embedded and low-end devices. In this work, we present an
Fadi Boutros+5 more
doaj +1 more source
Deep neural networks have rapidly become the mainstream method for face recognition (FR). However, this limits the deployment of such models that contain an extremely large number of parameters to embedded and low-end devices. In this work, we present an
Fadi Boutros+5 more
doaj +1 more source
A survey of Optimal Transport for Computer Graphics and Computer Vision
Computer graphics forum (Print), 2023Optimal transport is a long‐standing theory that has been studied in depth from both theoretical and numerical point of views. Starting from the 50s this theory has also found a lot of applications in operational research.
Nicolas Bonneel, Julie Digne
semanticscholar +1 more source
Stabilization and visual analysis of video-recorded sailing sessions
Visual Computing for Industry, Biomedicine, and Art, 2021One common way to aid coaching and seek to improve athletes’ performance is by recording training sessions for posterior analysis. In the case of sailing, coaches record videos from another boat, but usually rely on handheld devices, which may lead to ...
Gijs M. W. Reichert+3 more
doaj +1 more source
Masked face recognition: Human versus machine
IET Biometrics, 2022The recent COVID‐19 pandemic has increased the focus on hygienic and contactless identity verification methods. However, the pandemic led to the wide use of face masks, essential to keep the pandemic under control.
Naser Damer+5 more
doaj +1 more source
Executing cyclic scientific workflows in the cloud
Journal of Cloud Computing: Advances, Systems and Applications, 2021We present an algorithm and a software architecture for a cloud-based system that executes cyclic scientific workflows whose structure may change during run time.
Michel Krämer+2 more
doaj +1 more source