Results 61 to 70 of about 254,800 (281)

3D surgical instrument collection for computer vision and extended reality

Scientific Data, 2023
The availability of computational hardware and developments in (medical) machine learning (MML) increases medical mixed realities’ (MMR) clinical usability. Medical instruments have played a vital role in surgery for ages.
Gijs Luijten, Christina Gsaxner, Jianning Li, Antonio Pepe, Narmada Ambigapathy, Moon Kim, Xiaojun Chen, Jens Kleesiek, Frank Hölzle, Behrus Puladi, Jan Egger   +10 more
doaj   +1 more source

Playing for Data: Ground Truth from Computer Games

, 2016
Recent progress in computer vision has been driven by high-capacity models trained on large datasets. Unfortunately, creating large datasets with pixel-level labels has been extremely costly due to the amount of human effort required.
A Geiger, B McCane, B Pepik, BKP Horn, D Vázquez, DJ Butler, GJ Brostow, J Shotton, J Shotton, J Tighe, J Xu, JL Barron, S Baker, T Akenine-Möller, Takafumi Saito, V Haltakov   +15 more
core   +1 more source

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +1 more source

Spectral methods for multimodal data analysis [PDF]

, 2016
Spectral methods have proven themselves as an important and versatile tool in a wide range of problems in the fields of computer graphics, machine learning, pattern recognition, and computer vision, where many important problems boil down to ...
Bronstein, Michael, Kovnatsky, Artiom
core  

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Deterministic Modeling of Muller’s Ratchet Effect in Populations Evolving in an Environment of Finite Capacity

Applied Sciences
We study how small harmful mutations spread in populations that reproduce asexually. This process is known as Muller’s ratchet—it means that even though these mutations are damaging, they can still build up over generations.
Wojciech Łabaj, Jarosław Gil, Mateusz Kania, Ewa Lach, Agnieszka Szczęsna, Andrzej Polański   +5 more
doaj   +1 more source

Artifact‐Minimizing Ultrathin Transparent Electrodes Fabricated via iCVD for In Vivo Optogenetic Stimulation and Neural Signal Monitoring of Primary Visual Cortex

Advanced Functional Materials, EarlyView.
We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun, Minju Kim, Chaesung Kim, Yunyoung Choi, In‐Yeop Baek, Younghak Cho, Gyeongyong Lee, Yerim Jang, Min‐Ho Nam, Wonryung Lee, Maesoon Im, Hyejeong Seong   +11 more
wiley   +1 more source

Correlation dimension and entropy in the assessment of sex differences based on human gait data

Frontiers in Human Neuroscience
IntroductionIt is proved that there are differences between gait performed by females and males, which appear in movements of selected body parts. Despite numerous state-of-the-art studies related to the discriminative analysis of motion capture data ...
Adam Świtoński, Henryk Josiński, Andrzej Polański, Konrad Wojciechowski   +3 more
doaj   +1 more source

Rejection-Cascade of Gaussians: Real-time adaptive background subtraction framework

, 2019
Background-Foreground classification is a well-studied problem in computer vision. Due to the pixel-wise nature of modeling and processing in the algorithm, it is usually difficult to satisfy real-time constraints. There is a trade-off between the speed (
B Valentine, BR Kiran, J Zuo, T Bouwmans
core   +1 more source

Geodesic Methods in Computer Vision and Graphics [PDF]

Foundations and Trends® in Computer Graphics and Vision, 2009
This monograph reviews both the theory and practice of the numerical computation of geodesic distances on Riemannian manifolds. The notion of Riemannian manifold allows one to define a local metric (a symmetric positive tensor field) that encodes the information about the problem one wishes to solve.
Peyré, Gabriel, Péchaud, Mickaël, Keriven, Renaud, Cohen, Laurent D.   +3 more
openaire   +3 more sources