A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Developmental approach for interactive object discovery
2012
The 2012 International Joint Conference on Neural Networks (IJCNN)
We present a visual system for a humanoid robot that supports an efficient online learning and recognition of various elements of the environment. Taking inspiration from child's perception and following the principles of developmental robotics, our algorithm does not require image databases, predefined objects nor face/skin detectors. The robot explores the visual space from interactions with people and its own experiments. The object detection is based on the hypothesis of coherent motion and
doi:10.1109/ijcnn.2012.6252606
dblp:conf/ijcnn/LyubovaF12
fatcat:mleavkf4w5dtzgi7e6vw4jmzy4