Title :
Subspace Reduction for Appearance-Based Navigation of a Mobile Robot
Author :
Payá, Luis ; Reinoso, Oscar ; Vicente, M. Asunción ; Gil, Arturo ; Pedrero, J. Manuel
Author_Institution :
Miguel Hernandez Univ., Alicante
Abstract :
The appearance-based approach in visual robot navigation supposes several advantages, such as its application to non-structured environments and the relatively simple extraction of control laws that it offers. However, the main drawback is the requirement of extensive memories and the high computational cost. This way, the nature and the quantity of information to store about the environment is very important. This work presents how to reduce the dimension of the database, by means of calculating just the most significant information of each image. We show how it can be done working in the PCA subspace. This method allows lowering the computational cost without necessity of reducing the resolution of the images, what implies that it could be used in very non-structured environments, in the presence of partial occlusions and with considerably high translational speed of the robot.
Keywords :
image resolution; mobile robots; principal component analysis; robot vision; PCA subspace; appearance-based navigation; image resolution; mobile robot; partial occlusions; subspace reduction; translational speed; visual robot navigation; Cameras; Computational efficiency; Data mining; Feature extraction; Histograms; Image databases; Mobile robots; Navigation; Principal component analysis; Robot vision systems;
Conference_Titel :
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2877-9
DOI :
10.1109/ICIAP.2007.4362768