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Object detection in different environment is one of the important subjects and challenges in the machine vision field.
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Autonomous robotic navigation based on machine vision, presents a challenging field in current robotics research.
Camera calibration plays an important role in the field of machine vision applications.
Burke's team used a machine learning technique called a convolutional neural network, which has revolutionized the field of machine vision.
Whilst machine vision is a widely studied field, and machine touch has received some attention recently, the fusion of both modalities remains a relatively unexplored area.
In the field of machine vision, object recognition has been so well understood that, in some cases, artificial systems have surpassed human accuracy [13].
At the core of the method are the concepts of landscape signature and landscape dissimilarity adapted from the field of machine vision.
"Black is a leading expert in the field of machine vision and co-founder of the Body Labs company, which markets AI body procedures for capturing human body movements and shapes from 3D images for use in various industries".
Perhaps the most significant advancements have been in the field of machine vision through the advent of the charge-coupled-device (CCD) chip and the development of artificial neural networks.
For example, Soon-Shiong owns numerous patents in the hot field of machine vision.
It is realized that there is a category of images with color-discrete characteristic, widely investigated in the fields of machine vision, image processing and pattern recognition.
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