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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