Augmented reality

About: Augmented reality is a research topic. Over the lifetime, 36039 publications have been published within this topic receiving 479617 citations. The topic is also known as: AR.

Augmented reality: Principles and practice

Abstract: This tutorial will provide a detailed introduction to Augmented Reality (AR). AR is a key user-interface technology for personalized, situated information delivery, navigation, on-demand instruction and games. The widespread availability and rapid evolution of smartphones and new devices such as Hololens enables software-only solutions for AR, where it was previously necessary to assemble custom hardware solutions. However, ergonomic and technical limitations of existing devices make this a challenging endeavor. In particular, it is necessary to design novel efficient real-time computer vision and computer graphics algorithms, and create new lightweight forms of interaction with the environment through small form-factor devices. This tutorial will present selected technical achievements in this field and highlight some examples of successful application prototypes.

Immersive collaborative environment using motion capture, head mounted display, and cave

Abstract: A collaborative visualization system integrates motion capture and virtual reality, along with kinematics and computer-aided design (CAD), for the purpose, for example, of evaluating an engineering design. A virtual reality simulator creates a full-scale, three-dimensional virtual reality simulation responsive to computer-aided design (CAD) data. Motion capture data is obtained from users simultaneously interacting with the virtual reality simulation. The virtual reality simulator animates in real time avatars responsive to motion capture data from the users. The virtual reality simulation, including the interactions of the one or more avatars and also objects, is displayed as a three-dimensional image in a common immersive environment using one or more head mounted displays so that the users can evaluate the CAD design to thereby verify that tasks associated with a product built according to the CAD design can be performed by a predetermined range of user sizes.

Image and augmented reality based networks using mobile devices and intelligent electronic glasses

Abstract: A mobile communication system based on digital content including images and video that may be acquired, processed, and displayed using a plurality of mobile device, smartphones, tablet computers, stationary computers, intelligent electronic glasses, smart glasses, headsets, watches, smart devices, vehicles, and servers. Content may be acquired continuously by input and output devices and displayed in a social network. Images may have associated additional properties including nature of voice, audio, data and other information. This content may be displayed and acted upon in an augmented reality or virtual reality system. The imaged base network system may have the ability to learn and form intelligent association between aspects, people and other entities; between images and the associated data relating to both animate and inanimate entities for intelligent image based communication in a network. Acquired content may be processed for predictive analytics. Individuals may be imaged for targeted and personalized advertising.

Multiple target detection and tracking with guaranteed framerates on mobile phones

Abstract: In this paper we present a novel method for real-time pose estimation and tracking on low-end devices such as mobile phones. The presented system can track multiple known targets in real-time and simultaneously detect new targets for tracking. We present a method to automatically and dynamically balance the quality of detection and tracking to adapt to a variable time budget and ensure a constant frame rate. Results from real data of a mobile phone Augmented Reality system demonstrate the efficiency and robustness of the described approach. The system can track 6 planar targets on a mobile phone simultaneously at framerates of 23fps.

Visual-Inertial Navigation: A Concise Review

Abstract: As inertial and visual sensors are becoming ubiquitous, visual-inertial navigation systems (VINS) have prevailed in a wide range of applications from mobile augmented reality to aerial navigation to autonomous driving, in part because of the complementary sensing capabilities and the decreasing costs and size of the sensors. In this paper, we survey thoroughly the research efforts taken in this field and strive to provide a concise but complete review of the related work -- which is unfortunately missing in the literature while being greatly demanded by researchers and engineers -- in the hope to accelerate the VINS research and beyond in our society as a whole.