2026 Peter Eisert: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	34	12062	11713	598	585	294	5936

Overview

Peter Eisert is affiliated with Humboldt-Universität zu Berlin in Germany. Their research primarily focuses on computer science and engineering, with particular emphasis on computer vision and pattern recognition, artificial intelligence, computational mechanics, biomedical engineering, and computer graphics and computer-aided design.

Their work spans several main topics, including:

Advanced Vision and Imaging
3D Shape Modeling and Analysis
Computer Graphics and Visualization Techniques
Generative Adversarial Networks and Image Synthesis
Face recognition and analysis
Robotics and Sensor-Based Localization
Advanced Neural Network Applications

Peter Eisert has contributed to numerous scholarly articles published in a variety of venues. Frequent publication outlets include:

arXiv (Cornell University)
Current Directions in Biomedical Engineering
Sensors
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Scientific Reports

Recent publications authored or co-authored by Peter Eisert consist of the following works:

"Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture," 2021, published in Agronomy
"Accurate and robust neural networks for face morphing attack detection," 2020, published in Journal of Information Security and Applications
"Interactive facial animation with deep neural networks," 2020, published in IET Computer Vision
"Multi-View Mesh Reconstruction with Neural Deferred Shading," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope," 2020, published in Sensors

Throughout their career, Peter Eisert has collaborated extensively with several researchers, frequently co-authoring papers with:

Anna Hilsmann
Eric L. Wisotzky
Sebastian Bosse
Ingo Feldmann
Oliver Schreer

The combination of Peter Eisert's work reflects a broad engagement with multiple aspects of advanced imaging, neural networks, and computer graphics that intersect with engineering and biomedical applications. Their publication record highlights significant involvement in both theoretical and applied research within these fields.

Best Publications

Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet

Jorge Posada;Carlos Toro;Inigo Barandiaran;David Oyarzun

770
Citations
3D Video and Free Viewpoint Video - Technologies, Applications and MPEG Standards

Aljoscha Smolic;Karsten Mueller;Philipp Merkle;Christoph Fehn

446
Citations
Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture

Maria Teresa Linaza;Jorge Posada;Jürgen Bund;Peter Eisert

239
Citations
Analyzing facial expressions for virtual conferencing

P. Eisert;B. Girod

211
Citations
Multi-hypothesis, volumetric reconstruction of 3-D objects from multiple calibrated camera views

P. Eisert;E. Steinbach;B. Girod

145
Citations
Platform for distributed 3D gaming

A. Jurgelionis;P. Fechteler;P. Eisert;F. Bellotti

135
Citations
Detection of Face Morphing Attacks by Deep Learning

Clemens Seibold;Wojciech Samek;Anna Hilsmann;Peter Eisert;Peter Eisert

133
Citations
Automatic reconstruction of stationary 3-D objects from multiple uncalibrated camera views

P. Eisert;E. Steinbach;B. Girod

129
Citations
Digital watermarking of MPEG-4 facial animation parameters

Frank Hartung;Peter Eisert;Bernd Girod

127
Citations
Adaptive colour classification for structured light systems

P. Fechteler;P. Eisert

119
Citations
Model-aided coding: a new approach to incorporate facial animation into motion-compensated video coding

P. Eisert;T. Wiegand;B. Girod

97
Citations
Games@large graphics streaming architecture

I. Nave;H. David;A. Shani;Y. Tzruya

94
Citations
Predictive compression of dynamic 3D meshes

K. Muller;A. Smolic;M. Kautzner;P. Eisert

93
Citations
Fast and High Resolution 3D Face Scanning

P. Fechteler;P. Eisert;J. Rurainsky

87
Citations
Free viewpoint video extraction, representation, coding, and rendering

A. Smolic;K. Mueller;P. Merkle;T. Rein

86
Citations
Capturing panoramic or semi-panoramic 3d scenes

Joachim Schuessler;Peter Kauff;Christian Weissig;Peter Eisert

84
Citations
Tracking and Retexturing Cloth for Real-Time Virtual Clothing Applications

Anna Hilsmann;Peter Eisert

82
Citations
The Stereoscopic Analyzer — An image-based assistance tool for stereo shooting and 3D production

Frederik Zilly;Marcus Muller;Peter Eisert;Peter Kauff

82
Citations
Immersive 3D video conferencing: challenges, concepts, and implementation

Peter Eisert

80
Citations
Model-aided coding of multi-viewpoint image data

M. Magnor;P. Eisert;B. Girod

78
Citations
Accurate and robust neural networks for face morphing attack detection

Clemens Seibold;Wojciech Samek;Anna Hilsmann;Peter Eisert;Peter Eisert

50
Citations
Adaptive color classification for structured light systems

P. Fechteler;P. Eisert

27
Citations
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

Max Allan;A. Jonathan McLeod;Cong Cong Wang;Jean-Claude Rosenthal

15
Citations

Frequent Co-Authors

Bernd Girod Stanford University

Thomas Wiegand Technical University of Berlin

Eckehard Steinbach Technical University of Munich

Marcus Magnor Technische Universität Braunschweig

Didier Stricker German Research Centre for Artificial Intelligence

Noel E. O'Connor Dublin City University

Petros Daras Information Technologies Institute, Greece

Francesco Bellotti University of Genoa

Klaus-Robert Müller Technical University of Berlin

Peter J. B. Hancock University of Stirling

External Links

Personal website of Peter Eisert

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