Object-oriented stripe structured-light vision-guided robot

The stripe laser based stereo vision is often used in robot vision-guided system in the eye-in-hand configuration. The 3D scene is reconstructed from many 3D stripes obtained in stripe laser based stereo vision. But 3D objects can not be recognized by 3D stripe information. In 3D cluttered scene, the recognition of 3D objects is also difficult due to the object pose and match. In fact, the video from camera of stripe laser based stereo vision can be benefit to recognize 3D objects. This paper proposes an approach of the object-oriented vision-guided robot that video segmentation, tracking and recognition are used to guide robot to reduce the complexity of 3D object detection, recognition and pose estimation. Experimental results demonstrate the effectiveness of the approach.