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Fusing feature consistency across views for multi-view stereo

Complex & Intelligent Systems
Dense feature matching is of significant importance in the learning-based multi-view stereo (MVS) pipeline. Feature consistency across views is a key factor affecting feature matching and plays a crucial role in the reconstruction of objects by the ...
Rong Zhao, Caiqin Jia, Xindong Guo, Xiaowen Yang, Huiyan Han, Xie Han   +5 more
doaj   +1 more source

Focusing 3D Small Objects with Object Matching Set Abstraction

Applied Sciences
Currently, 3D object detection methods fail to detect small objects due to the fewer effective points of small objects. It is a significant challenge to reduce the loss of information of points in representation learning.
Lei Guo, Ningdong Song, Jindong Hu, Huiyan Han, Xie Han, Fengguang Xiong   +5 more
doaj   +1 more source

Understanding How Image Quality Affects Deep Neural Networks

, 2016
Image quality is an important practical challenge that is often overlooked in the design of machine vision systems. Commonly, machine vision systems are trained and tested on high quality image datasets, yet in practical applications the input images can
Dodge, Samuel, Karam, Lina
core   +1 more source

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning [PDF]

, 2018
Learning-based pattern classifiers, including deep networks, have shown impressive performance in several application domains, ranging from computer vision to cybersecurity.
Biggio, Battista, Roli, Fabio
core   +2 more sources

Convergence of Machine Vision and Melt Electrowriting

Advances in Materials, 2021
Melt electrowriting (MEW) is a high‐resolution additive manufacturing technology that balances multiple parametric variables to arrive at a stable fabrication process.
Pawel Mieszczanek, T. Robinson, P. Dalton, D. Hutmacher   +3 more
semanticscholar   +1 more source

Meat color recognition using machine vision [PDF]

, 2012
New technologies are being developed to give an ease to the human in a variety of different field each and every day. Food industry is the key of development that led to the rise of human civilization. The development of food industry dealt with the
Nai Chian, Voravit
core  

A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision

Technologies
Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions.
Nikoleta Manakitsa, George S. Maraslidis, L. Moysis, G. Fragulis   +3 more
semanticscholar   +1 more source

An explainable hybrid deep learning system for tuberculosis detection with Grad-CAM

Discover Computing
Tuberculosis (TB) is a highly contagious disease that affects millions of individuals globally. Early detection is crucial in preventing its spread and improving patient outcomes.
Aleka Melese Ayalew, Nigus Wereta Asnake, Getnet Demil, Mourad Oussalah   +3 more
doaj   +1 more source

Robot trajectory planning using OLP and structured light 3D machine vision [PDF]

, 2013
This paper proposes a new methodology for robotic offline programming (OLP) addressing the issue of automatic program generation directly from 3D CAD models and verification through online 3D reconstruction.
Kormann, Mariza, Rodrigues, Marcos, Schuhler, C, Tomek, P   +3 more
core   +1 more source

Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge

IEEE Access, 2021
Mez is a novel publish-subscribe messaging system for latency sensitive multi-camera machine vision applications at the IoT Edge. The unlicensed wireless communication in IoT Edge systems are characterized by large latency variations due to intermittent ...
Anjus George, A. Ravindran, Mat'ias Mendieta, Hamed Tabkhi   +3 more
semanticscholar   +1 more source