Results 51 to 60 of about 17,577 (264)

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Semi-supervised facial landmark annotation [PDF]

Computer Vision and Image Understanding, 2012
Highlights? A semi-supervised least-squares-based congealing algorithm is proposed. ? A statistical shape model learned online is integrated into congealing. ? We develop a system to automatically estimate the landmark set for an image ensemble. Landmark annotation for training images is essential for many learning tasks in computer vision, such as ...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler, Peter H. Tu   +3 more
openaire   +1 more source

A Brain‐Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior

Advanced Science, EarlyView.
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis, Stefan Stojilkovic, Kai‐Yi Wang, Cristina Márquez, Annabel C. Kleinwächter, Angel Baudon, Yuval Podpecan, Aurélia Ces, Mélanie Kremer, Isabelle Arnoux, Nathalie Rouach, Jemima Helen, Sophie Trender, Andreas Wallkum, Selina Wunsch, Franziska Schommer, Moritz C. Wimmer, Tim Schubert, Felix Franke, Jabir Aliyu Muhammad, Eva M. Eisemann, Ingrid Camila Possa‐Paranhos, Cassandra Baumann, Pierre‐Alexis Derrien, Quirin Krabichler, Cosmo Garcia, Henning Fröhlich, Matthew K. Kirchner, Valery Grinevich, Pascal Darbon, Javier E. Stern, Ferdinand Althammer, Alexandre Charlet   +32 more
wiley   +1 more source

The Heat is On: Thermal Facial Landmark Tracking

CoRR, 2023
Facial landmark tracking for thermal images requires tracking certain important regions of subjects' faces, using images from thermal images, which omit lighting and shading, but show the temperatures of their subjects. The fluctuations of heat in particular places reflect physiological changes like bloodflow and perspiration, which can be used to ...
openaire   +2 more sources

3D Facial Landmark Localization for cephalometric analysis

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Cephalometric analysis is an important and routine task in the medical field to assess craniofacial development and to diagnose cranial deformities and midline facial abnormalities. The advance of 3D digital techniques potentiated the development of 3D cephalometry, which includes the localization of cephalometric landmarks in the 3D models.
Helena R. Torres, Pedro Morais, Anne Fritze, Bruno Oliveira 0002, Fernando Veloso, Mario Rüdiger, Jaime C. Fonseca 0001, João L. Vilaça   +7 more
openaire   +3 more sources

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

Advanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang, Kejia Li, Ning Wang, Zhen Li, Zhiyong Zhang, Rocky S. Tuan, Yangzi Jiang   +6 more
wiley   +1 more source

Automated craniofacial landmarks detection on 3D image using geometry characteristics information

BMC Bioinformatics, 2019
Background Indirect anthropometry (IA) is one of the craniofacial anthropometry methods to perform the measurements on the digital facial images. In order to get the linear measurements, a few definable points on the structures of individual facial ...
Arpah Abu, Chee Guan Ngo, Nur Idayu Adira Abu-Hassan, Siti Adibah Othman   +3 more
doaj   +1 more source

Cephalometric landmark detection without X-rays combining coordinate regression and heatmap regression

Scientific Reports, 2023
Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsolved.
Kaisei Takahashi, Yui Shimamura, Chie Tachiki, Yasushi Nishii, Masafumi Hagiwara   +4 more
doaj   +1 more source

A Functional Regression Approach to Facial Landmark Tracking [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Linear regression is a fundamental building block in many face detection and tracking algorithms, typically used to predict shape displacements from image features through a linear mapping. This paper presents a Functional Regression solution to the least squares problem, which we coin Continuous Regression, resulting in the first real-time incremental
Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, Michel F. Valstar   +4 more
openaire   +4 more sources

Fast Facial Landmark Detection and Applications: A Survey

Journal of Computer Science and Technology, 2022
Dense facial landmark detection is a key element of face processing pipeline. In this paper we survey and analyze modern neural-network-based facial landmark detection algorithms, focus on approaches that have led to a significant increase in quality over the past few years on datasets with large pose and emotion variability, significant face ...
Kostiantyn Khabarlak, Larysa Koriashkina
openaire   +4 more sources