Outliers filtering – ROI extraction
qremoving the outlier features
qextract the region of interest by computing a bounding-box rectangle around the inlier features.
Testing the detection and recognition of objects
Recognizing and manipulating objects is an important task for mobile robots performing useful services in everyday environments. While existing techniques for object recognition related to manipulation provide very good results even for noisy and incomplete data, they are typically trained using data generated in an offline process.Specifically, we develop an approach to building a 3D surface model of an unknown object based on data collected by a kinect sensor observing the robot’s hand moving the object.
