We present a stereo vision based global self-localization strategy for tiny autonomous mobile robots in a well-known dynamic environment. Global localization is required for an initial startup or when the robot loses track of its pose during navigation. Existing approaches are based on dense range scans, active beacon systems, artificial landmarks, bearing measurements using omni-directional ca...

In image registration, a proper transformation should be topology preserving. Especially for landmark-based image registration, if the displacement of one landmark is larger enough than those of neighbourhood landmarks, topology violation will be occurred. This paper aim to analyse the topology preservation of some Radial Basis Functions (RBFs) which are used to model deformations in image regi...

Unsupervised retrieval of image features is vital for many computer vision tasks where the annotation missing or scarce. In this work, we propose a new unsupervised approach to detect landmarks in images, validating it on popular task human face key-points extraction. The method based idea auto-encoding wanted latent space while discarding non-essential information (and effectively preserving i...

During the past decade, archaeological studies conducted in the Seymareh River catchment area have provided invaluable findings for analytical investigations and, thus, gaining insights into various fields such as pottery, architecture, and multifarious cultural artefacts. Amongst the most significant of such archaeological findings are cemeteries with their cultural implications, which provide...

artificial immune systems (ais) can be defined as soft computing systems inspired by immune system of vertebrates. immune system is an adaptive pattern recognition system. ais have been used in pattern recognition, machine learning, optimization and clustering. feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...

This paper presents an original application of the Galois lattice theory, the visual landmark selection for topological localization of an autonomous mobile robot, equipped with a color camera. First, visual landmarks have to be selected in order to characterize a structural environment. Second, such landmarks have to be detected and updated for localization. These landmarks are combinations of...