This paper attacks the problem of automatic calibration of a mobile robot in an indoor environment. The problem is that the robot must locate itself accurately with respect to given landmarks, before it starts to navigate. In this paper, we examine the problem in a special case, where the ground plane is assumed to be horizontal and there are two locally parallel sidelines available. This assum...

BACKGROUND Although ultrasonography is recommended in internal jugular vein (IJV) catheterization, the landmark-guided technique should still be considered. The central landmark using the two heads of the sternocleidomastoid muscle is widely used, but it is inaccurate for IJV access. As an alternative landmark, we investigated the accuracy of the new landmark determined by inspection of the res...

We explore the applicability of deep convolutional neural networks (CNNs) for multiple landmark localization in medical image data. Exploiting the idea of regressing heatmaps for individual landmark locations, we investigate several fully convolutional 2D and 3D CNN architectures by training them in an end-to-end manner. We further propose a novel SpatialConfiguration-Net architecture that effe...

Visual appearance of landmark photos changes significantly in different weather conditions. In this work, we obtain weather information from a weather forecast website based on a landmark photo’s geotag and taken time information. With weather information, we adaptively adjust weightings for combining distances obtained based on different features and thus propose a weather-adaptive distance me...

We introduce a new dual-landmark heuristic for the A* algorithm that references a data structure of size θ(|L| + |V |), where L represents a set of strategically chosen landmark vertices and V the set of vertices in the graph. This heuristic’s benefits are permitted by a new approach for computing lower bounds based on generalized polygon inequalities, in which each landmark stores the distance...

This paper presents an attempt to introduce unvoiced landmarks into statistical continuous speech recognition system. The unvoiced landmark detection algorithm proposed here locates the points in speech where the vocal folds stop or begin freely vibrating. In our experiments, 87.47% of stops and 98.94% of fricatives are segmented from speech after the unvoiced landmark detection, with a very lo...

Today’s giant-sized image databases require content-based techniques to handle the exploration of image content on a large scale. A special part of image content retrieval is the domain of landmark recognition in images as it constitutes a basis for a lot of interesting applications on web images, personal image collections and mobile devices. We build an automatic landmark recognition system f...

Few studies have examined how landmarks affect territories' fundamental characteristics. In this field study, we investigated effects of landmarks on territory size, shape and location in a cichlid fish (Amatitlania siquia). We provided cans as breeding sites and used plastic plants as landmarks. During 10 min trials, we recorded locations where residents chased intruders and used those locatio...