Research on object detection for service robots based on image feature
Jiabao Wu, Yunxi Zhang, Yijing Zhang, Hetong Jiang, Linlin Hou, Jia Liu · 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) · 2022
Object recognition and location capture is one of the important functions of the service robot, and the accurate detection of the target is of great significance for the subsequent function expansion. This paper studies the three kinds of HSV, ORB, SIFT algorithm based on color features, shape features and gradient. According to different scenarios of target objects, the image features are extracted and object detection is carried out through different algorithms. Compared with the detection results, it is concluded that the selection of appropriate algorithms based on different features for object detection is more efficient, which lays a foundation for subsequent service robots to complete accurate grasping of target objects in complex indoor environments.