Learning-based Distance Evaluation in Robot Vision - A Comparison of ANFIS, MLP, SVR and Bilinear Interpolation Models

Hossam Fraihat, Kurosh Madani, Christophe Sabourin

2015

Abstract

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 aims. The investigated approach offers the possibility to use this low-cost pseudo-3D sensor for distance evaluation avoiding 3D feature extraction and thus exploiting the simplicity of only 2D image’ processing. Experimental results show the viability of the proposed approach and provide comparison between different machine learning techniques as Adaptive-network-based fuzzy inference (ANFIS), Multi-layer Perceptron (MLP), Support vector regression (SVR), Bilinear interpolation.

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Paper Citation


in Harvard Style

Fraihat H., Madani K. and Sabourin C. (2015). Learning-based Distance Evaluation in Robot Vision - A Comparison of ANFIS, MLP, SVR and Bilinear Interpolation Models . In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 168-173. DOI: 10.5220/0005636301680173


in Bibtex Style

@conference{ncta15,
author={Hossam Fraihat and Kurosh Madani and Christophe Sabourin},
title={Learning-based Distance Evaluation in Robot Vision - A Comparison of ANFIS, MLP, SVR and Bilinear Interpolation Models},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015)},
year={2015},
pages={168-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005636301680173},
isbn={978-989-758-157-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015)
TI - Learning-based Distance Evaluation in Robot Vision - A Comparison of ANFIS, MLP, SVR and Bilinear Interpolation Models
SN - 978-989-758-157-1
AU - Fraihat H.
AU - Madani K.
AU - Sabourin C.
PY - 2015
SP - 168
EP - 173
DO - 10.5220/0005636301680173