E
Erhardt Barth
Researcher at University of Lübeck
Publications - 190
Citations - 5443
Erhardt Barth is an academic researcher from University of Lübeck. The author has contributed to research in topics: Eye tracking & Gaze. The author has an hindex of 34, co-authored 188 publications receiving 4710 citations. Previous affiliations of Erhardt Barth include Technische Universität München & Daimler AG.
Papers
More filters
Journal ArticleDOI
Variability of eye movements when viewing dynamic natural scenes.
TL;DR: The stimuli types often used in laboratory experiments, static images and professionally cut material, are not very representative of natural viewing behavior, and eye movements on Hollywood movies are significantly more coherent than those on natural movies.
Proceedings Article
Accurate eye centre localisation by means of gradients
Fabian Timm,Erhardt Barth +1 more
TL;DR: This work proposes an approach for accurate and robust eye centre localisation by using image gradients using a simple objective function, which only consists of dot products, and demonstrates that this method yields a significant improvement regarding both accuracy and robustness.
Journal ArticleDOI
Time-of-Flight Cameras in Computer Graphics
TL;DR: A growing number of applications depend on accurate and fast 3D scene analysis, and the estimation of a range map by image analysis or laser scan techniques is still a time‐consuming and expensive part of such systems.
Journal ArticleDOI
A Multi-Organ Nucleus Segmentation Challenge
Neeraj Kumar,Ruchika Verma,Deepak Anand,Yanning Zhou,Omer Fahri Onder,E. D. Tsougenis,Hao Chen,Pheng-Ann Heng,Jiahui Li,Zhiqiang Hu,Yunzhi Wang,Navid Alemi Koohbanani,Mostafa Jahanifar,Neda Zamani Tajeddin,Ali Gooya,Nasir M. Rajpoot,Xuhua Ren,Sihang Zhou,Qian Wang,Dinggang Shen,Cheng-Kun Yang,Chi-Hung Weng,Wei-Hsiang Yu,Chao-Yuan Yeh,Shuang Yang,Shuoyu Xu,Pak-Hei Yeung,Peng Sun,Amirreza Mahbod,Gerald Schaefer,Isabella Ellinger,Rupert Ecker,Örjan Smedby,Chunliang Wang,Benjamin Chidester,That-Vinh Ton,Minh-Triet Tran,Jian Ma,Minh N. Do,Simon Graham,Quoc Dang Vu,Jin Tae Kwak,Akshaykumar Gunda,Raviteja Chunduri,Corey Hu,Xiaoyang Zhou,Dariush Lotfi,Reza Safdari,Antanas Kascenas,Alison O'Neil,Dennis Eschweiler,Johannes Stegmaier,Yanping Cui,Baocai Yin,Kailin Chen,Xinmei Tian,Philipp Gruening,Erhardt Barth,Elad Arbel,Itay Remer,Amir Ben-Dor,Ekaterina Sirazitdinova,Matthias Kohl,Stefan Braunewell,Yuexiang Li,Xinpeng Xie,Linlin Shen,Jun Ma,Krishanu Das Baksi,Mohammad Azam Khan,Jaegul Choo,Adrián Colomer,Valery Naranjo,Linmin Pei,Khan M. Iftekharuddin,Kaushiki Roy,Debotosh Bhattacharjee,Anibal Pedraza,Maria Gloria Bueno,Sabarinathan Devanathan,Saravanan Radhakrishnan,Praveen Koduganty,Zihan Wu,Guanyu Cai,Xiaojie Liu,Yuqin Wang,Amit Sethi +86 more
TL;DR: Several of the top techniques compared favorably to an individual human annotator and can be used with confidence for nuclear morphometrics as well as heavy data augmentation in the MoNuSeg 2018 challenge.
Journal ArticleDOI
How honeybees make grazing landings on flat surfaces
TL;DR: It is shown that, during landing, the bee decelerates continuously and in such a way as to keep the projected time to touchdown constant as the surface is approached, which reflects a surprisingly simple and effective strategy for achieving a smooth landing.