Machine vision
Related papers: 20
About
Machine vision is a field of technology that enables computers, robots, and automated systems to interpret and understand visual information captured from cameras and other imaging sensors. It encompasses the full pipeline from image acquisition and calibration to feature extraction, object recognition, depth estimation, and scene understanding. In robotics and AI, machine vision is used across an enormous range of applications: guiding industrial robot arms on assembly lines, enabling autonomous vehicles and agricultural robots to navigate complex environments, detecting and localizing objects for harvesting or inspection, and performing quality control in manufacturing and food processing. Techniques range from classical geometric methods and stereo vision to modern deep learning approaches such as Mask R-CNN, and sensors continue to evolve from standard frame cameras to event-based and neuromorphic devices. Machine vision matters because it serves as the primary perceptual bridge between robots and the physical world, providing the spatial and semantic awareness necessary for autonomous decision-making, precise manipulation, and safe operation in both structured industrial settings and unpredictable real-world environments.
Top Researchers
Top Institutes
Top Cited Papers
A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses
R. Tsai
Citations: 5813 • 1987
Computer and Robot Vision
Robert M. Haralock, Linda G. Shapiro
Citations: 3952 • 1991
Robot Vision
Berthold K. P. Horn
Citations: 3635 • 1986
Event-Based Vision: A Survey
Citations: 2007 • 2020
Ultrafast machine vision with 2D material neural network image sensors
Lukas Mennel, Joanna Symonowicz, Stefan Wachter, Dmitry K. Polyushkin, Aday J. Molina‐Mendoza, Thomas Mueller
Citations: 1105 • 2020
A Perspective on Range Finding Techniques for Computer Vision
R.A. Jarvis
Citations: 782 • 1983
Vision and navigation for the Carnegie-Mellon Navlab
C. Thorpe, Martial Hebert, Takeo Kanade, Steven A. Shafer
Citations: 771 • 1988
Robotics, Vision and Control
Peter Corke
Citations: 671 • 2011
Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN
Yu Yang, Kailiang Zhang, Yang Li, Dongxing Zhang
Citations: 626 • 2019
Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning
Van Nhan Nguyen, Robert Jenssen, Davide Roverso
Citations: 565 • 2018
Model-based recognition in robot vision
R.T. Chin, Charles R. Dyer
Citations: 565 • 1986
Kalman Filter for Robot Vision: A Survey
Shengyong Chen
Citations: 559 • 2011
Sensors and systems for fruit detection and localization: A review
Aleana Gongal, Suraj Amatya, Manoj Karkee, Q. Zhang, K.M. Lewis
Citations: 557 • 2015
Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
Yunchao Tang, Mingyou Chen, Chenglin Wang, Lufeng Luo, Jinhui Li, Guoping Lian, Xiangjun Zou
Citations: 546 • 2020
A critical review on computer vision and artificial intelligence in food industry
Vijay Kakani, Van Huan Nguyen, Hakil Kim, Visweswara Rao Pasupuleti
Citations: 491 • 2020
Small Vision Systems: Hardware and Implementation
Kurt Konolige
Citations: 457 • 1998
An autonomous strawberry‐harvesting robot: Design, development, integration, and field evaluation
Ya Xiong, Yuanyue Ge, Lars Grimstad, Pål Johan From
Citations: 417 • 2019
Active vision in robotic systems: A survey of recent developments
Shengyong Chen, Youfu Li
Citations: 403 • 2011
Computer Vision Techniques in Construction: A Critical Review
Shuyuan Xu, Jun Wang, Wenchi Shou, Tuan Ngo, Abdul-Manan Sadick, Xiangyu Wang
Citations: 399 • 2020
A review of key techniques of vision-based control for harvesting robot
Yuanshen Zhao, Liang Gong, Yixiang Huang, Chengliang Liu
Citations: 394 • 2016