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.

Video-rate localization in multiple maps for wearable augmented reality

Abstract: We show how a system for video-rate parallel camera tracking and 3D map-building can be readily extended to allow one or more cameras to work in several maps, separately or simultaneously. The ability to handle several thousand features per map at video-rate, and for the cameras to switch automatically between maps, allows spatially localized AR workcells to be constructed and used with very little intervention from the user of a wearable vision system. The user can explore an environment in a natural way, acquiring local maps in real-time. When revisiting those areas the camera will select the correct local map from store and continue tracking and structural acquisition, while the user views relevant AR constructs registered to that map.

Augmented reality

Abstract: This article consists of a collection of slides from the author's conference presentation. Presents an overview of Mataio, a company that provides products and services in the field of augmented reality and computer vision. Some of the specific topics discussed include: corporate structure, product launchings, markets served, and major areas of technnological innovation in the field.

Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness

Abstract: Driver distraction and inattention are prominent causes of automotive collisions. To enable driver-assistance systems to address these problems, we require new sensing approaches to infer a driver's focus of attention. In this paper, we present a new procedure for static head-pose estimation and a new algorithm for visual 3-D tracking. They are integrated into the novel real-time (30 fps) system for measuring the position and orientation of a driver's head. This system consists of three interconnected modules that detect the driver's head, provide initial estimates of the head's pose, and continuously track its position and orientation in six degrees of freedom. The head-detection module consists of an array of Haar-wavelet Adaboost cascades. The initial pose estimation module employs localized gradient orientation (LGO) histograms as input to support vector regressors (SVRs). The tracking module provides a fine estimate of the 3-D motion of the head using a new appearance-based particle filter for 3-D model tracking in an augmented reality environment. We describe our implementation that utilizes OpenGL-optimized graphics hardware to efficiently compute particle samples in real time. To demonstrate the suitability of this system for real driving situations, we provide a comprehensive evaluation with drivers of varying ages, race, and sex spanning daytime and nighttime conditions. To quantitatively measure the accuracy of system, we compare its estimation results to a marker-based cinematic motion-capture system installed in the automotive testbed.

Wearable Intelligent Vision Device Apparatuses, Methods and Systems

Abstract: The WEARABLE INTELLIGENT VISION DEVICE APPARATUSES, METHODS AND SYSTEMS (“WIVD”) transform mobile device location coordinate information transmissions, real-time reality visual capturing, mixed gesture capturing, bio-sensor data via WIVD components into real-time behavior-sensitive product purchase related information, shopping purchase transaction notifications, and electronic receipts. In one implementation, the WIVD may provide a personal device in the form of a pair of eyeglasses, wherein the wearer of the eyeglasses may obtain various augmented reality views. The WIVD determines a user prior behavior pattern from the accessed user profile, and obtains user real-time in-store behavior data from the user mobile device.