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Towards Coding for Human and Machine Vision: Scalable Face Image Coding

IEEE transactions on multimedia, 2021
The past decades have witnessed the rapid development of image and video coding techniques in the era of big data. However, the signal fidelity-driven coding pipeline design limits the capability of the existing image/video coding frameworks to fulfill ...
Shuai Yang   +4 more
semanticscholar   +1 more source

Improving Multiple Machine Vision Tasks in the Compressed Domain

International Conference on Pattern Recognition, 2022
There is a growing number of images that are analyzed by machines rather than just humans. Recently, most machine vision tasks are based on decoded images which require an image compression (encoding/decoding) framework. However, using the decoded images
Jinming Liu, Heming Sun, J. Katto
semanticscholar   +1 more source

Railway Intrusion Detection Based on Machine Vision: A Survey, Challenges, and Perspectives

IEEE transactions on intelligent transportation systems (Print)
Railway intrusion seriously threatens railway safety and can cause enormous loss of life and property. Therefore, railway intrusion detection is crucial for the safety of railway operation. Among the current methods of intrusion detection, machine vision-
Zhiwei Cao   +7 more
semanticscholar   +1 more source

Machine Vision

2010
This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing ...
Wesley E. Snyder, Hairong Qi
openaire   +1 more source

A Survey of Synthetic Data Augmentation Methods in Machine Vision

Machine Intelligence Research
The standard approach to tackling computer vision problems is to train deep convolutional neural network (CNN) models using large-scale image datasets that are representative of the target task.
A. Mumuni, F. Mumuni, N. K. Gerrar
semanticscholar   +1 more source

Machine Vision

Aerospace Testing International, 2023
AI co-pilots could soon be improving safety in aircraft by providing collision avoidance and navigation prompts
openaire   +1 more source

Learning and vision machines

Proceedings of the IEEE, 2002
The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our approach to the problem of visual perception based on supervised learning. After a brief presentation of the theoretical background, we focus on some of the engineering applications of statistical learning to ...
HEISELE B, VERRI, ALESSANDRO, POGGIO T.
openaire   +2 more sources

Machine vision

Image and Vision Computing, 1992
Franz Pichler, Heinz Schwärtzel
  +5 more sources

Machine Vision

2013
Abstract Machine vision is a means of simulating the image recognition and analysis capabilities of the human eye/brain system with electronic and electromechanical techniques. This chapter discusses four basic steps in the machine vision process, namely image formation, image preprocessing, image analysis, and image interpretation ...
openaire   +1 more source

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