In this paper, we present a system for simultaneous localization and map building of a mobile robot, based on an attentional landmark detector. A biologically motivated attention system finds regions of interest which serve as visual landmarks for the robot. The regions are tracked and matched over consecutive frames to build stable landmarks and to estimate the 3D position of the landmarks in ...

Background The Formetric 4D System (Diers International GmbH, Schlangenbad Germany) is a popular system for measuring surface topography in patients with adolescent scoliosis [1-4]. The system automatically detects anatomic landmarks on the patient, but then gives the user the opportunity to make adjustments to those landmarks if necessary. The purpose of this study was to see whether there wou...

Landmark-based architecture has been commonly adopted in the networking community as a mechanism to measure and characterize a host’s location on the Internet. In most existing landmark based approaches, end hosts use the distance measurements to a common, fixed set of landmarks to derive an estimated location on the Internet. This paper investigates whether it is possible for participating pee...

To dynamically detect the facial landmarks in the video, we propose a novel hybrid framework termed as detection-tracking-detection (DTD). First, the face bounding box is achieved from the first frame of the video sequence based on a traditional face detection method. Then, a landmark detector detects the facial landmarks, which is based on a cascaded deep convolution neural network (DCNN). Nex...

In many cases several entities, such as commercial companies, need to work together towards the achievement of joint goals, while hiding certain private information. Multi-agent STRIPS (MASTRIPS) is a new and attractive model for describing collaborative multi-agent privacy preserving planning, which is appropriate for such problems. In single agent classical planning, landmarks are key to cons...

Pigeons and humans searched for a goal that was hidden in varied locations within a search space. The goal location was fixed relative to an array of identical landmarks. Pigeons searched on the laboratory floor, and humans searched on a table top or an outdoor field. In Experiment 1, the goal was centered in a square array of 4 landmarks. When the spacing between landmarks was increased, human...

Three studies investigated the acquisition and retention of structural and object landmark knowledge in novel virtual indoor environments. In each study, subjects were trained and tested in complex virtual indoor environments. The studies investigated the rate of acquisition and memory retention for local hallway structure (structural landmarks) or local pictures (object landmarks). These studi...

Navigation based on detected landmarks is an important facet of robot navigation. This work investigates into a qualitative representation of landmarks for an autonomous learning task where a robot learns a goal directed navigation strategy with reinforcement learning. We discuss how to build a suitable landmark-based representation. In particular, we focus on selection of landmarks to regard w...

In this paper, we introduce an application of visual attention in the field of robotics: attentional visual SLAM (Simultaneous Localization and Mapping). A biologically motivated attention system finds regions of interest which serve as visual landmarks for the robot. The regions are tracked and matched over consecutive frames to build stable landmarks and to estimate the 3D position of the lan...

The recognition of landmarks in images can help to manage large image collections and thus is desirable for many image retrieval applications. A practical system has to be scalable with an increasing number of landmarks. For the domain of landmark recognition we investigate state-of-the-art CBIR methods on an image dataset of 900 landmarks. Our experiments show that the kNN classifier outperfor...