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6 May 2022 Improved objects matching with a single RGB camera
Feng Jiang, Wei Song, Shiqiang Zhu, Tianlei Jin, Zonghao Mu, Xinliang Zhong
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Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225606 (2022) https://doi.org/10.1117/12.2636201
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China
Abstract
With the development of computer vision technology, more and more robots are using advanced computer vision techniques for scene environment exploration and understanding. For intelligent robots, recognizing and understanding scenes and the objects in them is a very important task that can help robots perform more complex tasks. In this paper, we develop a scene object recognition and matching algorithm from the perspective of scene understanding, which can recognize objects in the environment quickly and stably, and can match and track objects as the camera moves. Tests on real scenes show the effectiveness and rapidity of this algorithm.
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Feng Jiang, Wei Song, Shiqiang Zhu, Tianlei Jin, Zonghao Mu, and Xinliang Zhong "Improved objects matching with a single RGB camera", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225606 (6 May 2022); https://doi.org/10.1117/12.2636201
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KEYWORDS
Detection and tracking algorithms
Cameras
Cameras
Image processing
Image processing
Robots
Robots
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