Results 131 to 140 of about 5,580,472 (385)

Computer Analysis of Architecture Using Automatic Image Understanding

open access: yes, 2019
In the past few years, computer vision and pattern recognition systems have been becoming increasingly more powerful, expanding the range of automatic tasks enabled by machine vision.
Li, Yuan, Shamir, Lior, Wei, Fan
core   +1 more source

A Homeostatic Photonic Device Integrating Vapor‐Regulated Thermo‐Optical Feedback Mechanisms

open access: yesAdvanced Functional Materials, EarlyView.
An inorganic homeostatic photonic device is designed to autonomously regulate light, temperature, and vapor sorption through integrated positive and negative feedback mechanisms at multiple wavelengths. The device uses a graded mesoporous 1D photonic crystal coupled with a photothermal layer.
Caroline Byun   +4 more
wiley   +1 more source

Active AU Based Patch Weighting for Facial Expression Recognition

open access: yesSensors, 2017
Facial expression has many applications in human-computer interaction. Although feature extraction and selection have been well studied, the specificity of each expression variation is not fully explored in state-of-the-art works.
Weicheng Xie   +3 more
doaj   +1 more source

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  

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

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly   +4 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  

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

open access: yesAdvanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana   +2 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  

Home - About - Disclaimer - Privacy