Results 111 to 120 of about 1,996,919 (352)

Adapting Computer Vision Algorithms for Omnidirectional Video [PDF]

open access: yesarXiv, 2019
Omnidirectional (360{\deg}) video has got quite popular because it provides a highly immersive viewing experience. For computer vision algorithms, it poses several challenges, like the special (equirectangular) projection commonly employed and the huge image size.
arxiv  

Low‐Velocity Penetration Impact Behavior of Triply Periodic Minimal Surface Strut‐Based Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS)‐based lattices are gaining attention for their multifunctional properties in applications as aeronautics and automotive, which involve low‐velocity impact loading. This work evaluates the low‐velocity penetration impact behavior of five distinct TPMS architectures.
Lucía Doyle   +2 more
wiley   +1 more source

Underwater Multi-Vehicle Trajectory Alignment and Mapping Using Acoustic and Optical Constraints

open access: yesSensors, 2016
Multi-robot formations are an important advance in recent robotic developments, as they allow a group of robots to merge their capacities and perform surveys in a more convenient way.
Ricard Campos, Nuno Gracias, Pere Ridao
doaj   +1 more source

Real-time Tracking Based on Neuromrophic Vision [PDF]

open access: yesarXiv, 2015
Real-time tracking is an important problem in computer vision in which most methods are based on the conventional cameras. Neuromorphic vision is a concept defined by incorporating neuromorphic vision sensors such as silicon retinas in vision processing system.
arxiv  

Riemannian Computing in Computer Vision [PDF]

open access: yes, 2016
This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volumeincludes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity ...
Pavan Turaga, Anuj Srivastava
openaire   +2 more sources

Constructing Covalent Organic Polymers through Dative B─N Bonds: Synthesis, Single Crystal Structures, and Physical Properties

open access: yesAdvanced Functional Materials, EarlyView.
Dynamic linkages are highly attractive in preparing single crystals of covalent organic polymers (COPs). Here, single crystals of two COPs CityU‐15 and CityU‐16 based on reversible B─N bonds are constructed using tetra(4‐pyridyl)tetrathiafulvalene and tetra(4‐pyridyl)porphine as monomers.
Xin Wang   +7 more
wiley   +1 more source

Reconfiguring the Imaging Pipeline for Computer Vision [PDF]

open access: yesarXiv, 2017
Advancements in deep learning have ignited an explosion of research on efficient hardware for embedded computer vision. Hardware vision acceleration, however, does not address the cost of capturing and processing the image data that feeds these algorithms.
arxiv  

Computer Stereo Vision for Autonomous Driving [PDF]

open access: yesarXiv, 2020
As an important component of autonomous systems, autonomous car perception has had a big leap with recent advances in parallel computing architectures. With the use of tiny but full-feature embedded supercomputers, computer stereo vision has been prevalently applied in autonomous cars for depth perception.
arxiv  

Recent Advances in Enzyme‐based Biofuel Cells Using Glucose Fuel: Achieving High Power Output and Enhanced Operational Stability

open access: yesAdvanced Functional Materials, EarlyView.
Effective electron transfer and stable enzyme immobilization, both between enzymes and host electrodes as well as between adjacent enzymes, are crucial for optimizing the biofuel cell (BFC) performance. Recently, efforts have focused on integrating these strategies with porous host electrodes.
Junha Pak   +3 more
wiley   +1 more source

Reverse active learning based atrous DenseNet for pathological image classification

open access: yesBMC Bioinformatics, 2019
Background Due to the recent advances in deep learning, this model attracted researchers who have applied it to medical image analysis. However, pathological image analysis based on deep learning networks faces a number of challenges, such as the high ...
Yuexiang Li   +3 more
doaj   +1 more source

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