Vision-based robot localization outdoors has remained more elusive than its indoors counterpart. Drastic illumination changes and the scarceness of suitable landmarks are the main difficulties. This paper attempts to surmount them by deviating from the main trend of using local features. Instead, a global descriptor called landmark-view is defined, which aggregates the most visually-salient lan...

In this paper we present the Landmark Model, a model for time series that yields new techniques for similarity-based time series pattern querying. The Landmark Model does not follow traditional similarity models that rely on pointwise Euclidean distance. Instead, it leads to Landmark Similarity, a general model of similarity that is consistent with human intuition and episodic memory. By tracki...

In this paper, we investigate the utility of static anthropometric distances as a biometric for human identification. The 3D landmark data from the CAESAR database is used to form a simple biometric consisting of distances between fixed rigidly connected body locations. This biometric is overt, and invariant to view and body posture. We use this to quantify the asymmetry of human bodies, and to...

The goal of this paper is to investigate the role of gestures in verbal descriptions of a spatial layout. Participants listened to a text describing a fictional environment from the route or survey perspective, and then asked to explain the pairs of landmarks, some with route perspective (directions from one landmark to another) and other with survey perspective (to provide the locations of two...

This paper addresses the question of how route instructions that include landmarks for indoor navigation can be created automatically based on information available in spatial indoor databases. Existing approaches for the generation of landmark-based routing instructions are designed for outdoor environments and rely mainly on instance-level data about the characteristics of potential landmarks...

This article describes the localization function integrated in a landmark-based navigation system. It relies on the use of planar landmarks (typically, posters) to localize the robot. It is based on two periodic processes running at different frequencies. One of them performs the poster tracking (based on the partial Hausdorff distance) and the active control of the camera. The other one runs o...

During locomotion, individuals can determine their positions with either idiothetic cues from movement (path integration systems) or visual landmarks (piloting systems). This project investigated how these 2 systems interact in determining humans' positions. In 2 experiments, participants studied the locations of 5 target objects and 1 single landmark. They walked a path after the targets and t...

We introduce a novel multi-step approach to improved detection of 3D anatomical point landmarks in tomographic images. Such landmarks serve as important image features for a variety of 3D medical image analysis tasks (e.g. image registration). Existing approaches to landmark detection, however, often suffer from a rather large number of false detections. Our multi-step approach combines an exis...

The role of generalization decrement in spatial overshadowing was evaluated using a landmark-based spatial search task in both a touchscreen preparation (Experiment 1a) and in an Automated Remote Environmental Navigation Apparatus (ARENA, Experiment 1b). A landmark appeared as a colored circle among a row of eight (touchscreen) or six (ARENA) potential locations. On overshadowing trials, Landma...

In this paper, we present algorithms to automatically detect and match landmark curves on cortical surfaces to get an optimized brain conformal parametrization. First, we propose an automatic landmark curve tracing method based on the principal directions of the local Weingarten matrix. Our algorithm obtains a hypothesized landmark curves using the Chan-Vese segmentation method, which solves a ...