A survey of Optimal Transport for Computer Graphics and Computer Vision
Computer Graphics Forum, 2023 AbstractOptimal 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. Over the last 30 years it has spread to computer vision and computer graphics and is now becoming hard to ignore.
Nicolas Bonneel, Julie Digne
exaly +3 more sources
Developing a Gudermannian neural network for solving the Painlevé model-II in the context of nonlinear optics [PDF]
Scientific ReportsA design of Gudermannian neural network (GNN) is executed for the numerical results of the Painlevé model-II in the context of nonlinear optics (PM-II-NO).
Sundas Faisal +4 more
doaj +2 more sources
Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact [PDF]
PeerJ Computer Science, 2021 Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Deep learning tries to achieve this by drawing inspiration from the learning of a human brain.
Jan Egger +5 more
doaj +2 more sources
Computational Symmetry in Computer Vision and Computer Graphics [PDF]
Foundations and Trends® in Computer Graphics and Vision, 2010 In the arts and sciences, as well as in our daily lives, symmetry has made a profound and lasting impact. Likewise, a computational treatment of symmetry and group theory (the ultimate mathematical formalization of symmetry) has the potential to play an important role in computational sciences.
Yanxi Liu 0001 +3 more
openaire +2 more sources
APPLICATION OF GILLESPIE ALGORITHM FOR SIMULATING EVOLUTION OF FITNESS OF MICROBIAL POPULATION [PDF]
Applied Computer Science, 2022 In this study we present simulation system based on Gillespie algorithm for generating evolutionary events in the evolution scenario of microbial population.
Jarosław GIL, Andrzej POLAŃSKI
doaj +1 more source
AUTOMATIC FUSION OF PARTIAL RECONSTRUCTIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Novel image acquisition tools such as micro aerial vehicles (MAVs) in form of quad- or octo-rotor helicopters support the creation of 3D reconstructions with ground sampling distances below 1 cm.
A. Wendel +3 more
doaj +1 more source
AUTOMATED INSPECTION OF POWER LINE CORRIDORS TO MEASURE VEGETATION UNDERCUT USING UAV-BASED IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Power line corridor inspection is a time consuming task that is performed mostly manually. As the development of UAVs made huge progress in recent years, and photogrammetric computer vision systems became well established, it is time to further automate
M. Maurer +3 more
doaj +1 more source
IEEE Access, 2021 We propose an end-to-end deep learning architecture for 3D reconstruction from high-resolution images. While many approaches focus on improving reconstruction quality alone, we primarily focus on decreasing memory requirements in order to exploit the ...
Rafael Weilharter, Friedrich Fraundorfer
doaj +1 more source
Automated End-to-End Workflow for Precise and Geo-accurate Reconstructions using Fiducial Markers [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Photogrammetric computer vision systems have been well established in many scientific and commercial fields during the last decades. Recent developments in image-based 3D reconstruction systems in conjunction with the availability of affordable high ...
M. Rumpler +6 more
doaj +1 more source
Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope
Sensors, 2020 We develop a stereo-multispectral endoscopic prototype in which a filter-wheel is used for surgical guidance to remove cholesteatoma tissue in the middle ear. Cholesteatoma is a destructive proliferating tissue.
Eric L. Wisotzky +5 more
doaj +1 more source