Learning-based distance evaluation in robot vision: A comparison of ANFIS, MLP, SVR and bilinear interpolation models

@article{Fraihat2015LearningbasedDE,
  title={Learning-based distance evaluation in robot vision: A comparison of ANFIS, MLP, SVR and bilinear interpolation models},
  author={Hossam Fraihat and Kurosh Madani and Christophe Sabourin},
  journal={2015 7th International Joint Conference on Computational Intelligence (IJCCI)},
  year={2015},
  volume={3},
  pages={168-173}
}
This paper deals with visual evaluation of object distances using Soft-Computing based approaches and pseudo-3D standard low-cost sensor, namely the Kinect. The investigated technique points toward robots' vision and visual metrology of the robot's surrounding environment. The objective is providing the robot the ability of evaluating distances between objects in its surrounding environment. In fact, although presenting appealing advantages, the Kinect has not been designed for metrological… CONTINUE READING