Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Anna Hilsmann"'
Autor:
Yonghao Chen, Tilman Stephani, Milena Teresa Bagdasarian, Anna Hilsmann, Peter Eisert, Arno Villringer, Sebastian Bosse, Michael Gaebler, Vadim V. Nikulin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Artificially created human faces play an increasingly important role in our digital world. However, the so-called uncanny valley effect may cause people to perceive highly, yet not perfectly human-like faces as eerie, bringing challenges to
Externí odkaz:
https://doaj.org/article/764592db42944436984f03113e917af8
Publikováno v:
Graphical Models, Vol 129, Iss , Pp 101199- (2023)
This paper presents a novel approach for text/speech-driven animation of a photo-realistic head model based on blend-shape geometry, dynamic textures, and neural rendering. Training a VAE for geometry and texture yields a parametric model for accurat
Externí odkaz:
https://doaj.org/article/01ebd96c452f4afe9cf70af6d98b1900
Autor:
Sebastian P. Schraven, Benjamin Kossack, Daniel Strüder, Maximillian Jung, Lotte Skopnik, Justus Gross, Anna Hilsmann, Peter Eisert, Robert Mlynski, Eric L. Wisotzky
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Flap loss through limited perfusion remains a major complication in reconstructive surgery. Continuous monitoring of perfusion will facilitate early detection of insufficient perfusion. Remote or imaging photoplethysmography (rPPG/iPPG) as a
Externí odkaz:
https://doaj.org/article/d36d012f13484807a78d7c3abcc6e680
Publikováno v:
Computational Visual Media, Vol 9, Iss 1, Pp 123-139 (2022)
Abstract Accurate and temporally consistent modeling of human bodies is essential for a wide range of applications, including character animation, understanding human social behavior, and AR/VR interfaces. Capturing human motion accurately from a mon
Externí odkaz:
https://doaj.org/article/99ea035db5274107894e1de71288d3de
Autor:
Anna Hilsmann, Philipp Fechteler, Wieland Morgenstern, Wolfgang Paier, Ingo Feldmann, Oliver Schreer, Peter Eisert
Publikováno v:
IET Computer Vision, Vol 14, Iss 6, Pp 350-358 (2020)
An end‐to‐end pipeline for the creation of high‐quality animatable volumetric video of human performances is presented. Going beyond the application of free‐viewpoint video, the authors allow re‐animation and alteration of an actor's perfor
Externí odkaz:
https://doaj.org/article/9fe1f76e86514b8985ff7d38bfbbc96d
Publikováno v:
IET Computer Vision, Vol 14, Iss 6, Pp 359-369 (2020)
Creating realistic animations of human faces is still a challenging task in computer graphics. While computer graphics (CG) models capture much variability in a small parameter vector, they usually do not meet the necessary visual quality. This is du
Externí odkaz:
https://doaj.org/article/f19d26ba9c1446df858c69b340f33a95
Publikováno v:
Computers, Vol 10, Iss 9, p 117 (2021)
Detecting morphed face images has become an important task to maintain the trust in automated verification systems based on facial images, e.g., at automated border control gates. Deep Neural Network (DNN)-based detectors have shown remarkable result
Externí odkaz:
https://doaj.org/article/01188efbed604ed7b6026e7e561278c9
Publikováno v:
Computational Visual Media, Vol 4, Iss 1, Pp 3-15 (2017)
Abstract In this paper, we present a novel approach for assessing and interacting with surface tracking algorithms targeting video manipulation in post-production. As tracking inaccuracies are unavoidable, we enable the user to provide small hints to
Externí odkaz:
https://doaj.org/article/b6785d2bb77442709e0fd88ba253b460
Autor:
Eric L. Wisotzky, Jean-Claude Rosenthal, Ulla Wege, Anna Hilsmann, Peter Eisert, Florian C. Uecker
Publikováno v:
Sensors, Vol 20, Iss 18, p 5334 (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. The only treatment for this disease is
Externí odkaz:
https://doaj.org/article/9b0bdb25ef7145579f5f671a73067ebf
Publikováno v:
Immersive Video Technologies ISBN: 9780323917551
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05d9bdf559e24abb7cf7e6d0b130294a
https://doi.org/10.1016/b978-0-32-391755-1.00017-1
https://doi.org/10.1016/b978-0-32-391755-1.00017-1
