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The computational capabilities of recent mobile devices enable the processing of natural features for Augmented Reality (AR), but the scalability is still limited by the devices' computation power and available resources. In this paper, we…

Computer Vision-based natural feature tracking is at the core of modern Augmented Reality applications. Still, Web-based Augmented Reality typically relies on location-based sensing (using GPS and orientation sensors) or marker-based…

计算机视觉与模式识别 · 计算机科学 2018-04-24 Fabian Göttl , Philipp Gagel , Jens Grubert

In this paper, a mobile camera positioning method based on forward and inverse kinematics of robot is proposed, which can realize far point positioning of imaging position and attitude tracking in large scene enhancement. Orbit precision…

机器人学 · 计算机科学 2020-03-10 Zhen Ma , He Xu , Yonghui Zhang , Junlong Chen , Dongbo Zhao , Siqing Chen

Tracking the position and orientation of objects in space (i.e., in 6-DoF) in real time is a fundamental problem in robotics for environment interaction. It becomes more challenging when objects move at high-speed due to frame rate…

计算机视觉与模式识别 · 计算机科学 2025-08-21 Zhichao Li , Arren Glover , Chiara Bartolozzi , Lorenzo Natale

Augmented reality (AR) is one of the relatively old, yet trending areas in the intersection of computer vision and computer graphics with numerous applications in several areas, from gaming and entertainment, to education and healthcare.…

计算机视觉与模式识别 · 计算机科学 2022-02-28 Shervin Minaee , Xiaodan Liang , Shuicheng Yan

Operators want to maintain awareness of the structure being tested while observing sensor data. Normally the human's gaze shifts to a separate device or screen during the experiment for data information, missing the structure's physical…

人机交互 · 计算机科学 2021-10-08 Elijah Wyckoff , Marlan Ball , Fernando Moreu

Existing visual trackers mainly operate in a non-interactive, fire-and-forget manner, making them impractical for real-world scenarios that require human-in-the-loop adaptation. To overcome this limitation, we introduce Interactive…

计算机视觉与模式识别 · 计算机科学 2026-04-03 Yuqing Huang , Guotian Zeng , Zhenqiao Yuan , Zhenyu He , Xin Li , Yaowei Wang , Ming-Hsuan Yang

Facial motion tracking in head-mounted displays (HMD) has the potential to enable immersive "face-to-face" interaction in a virtual environment. However, current works on facial tracking are not suitable for unobtrusive augmented reality…

人机交互 · 计算机科学 2023-08-16 Yinan Xuan , Varun Viswanath , Sunny Chu , Owen Bartolf , Jessica Echterhoff , Edward Wang

Augmented reality (AR) offers promising opportunities to support movement-based activities, such as personal training or physical therapy, with real-time, spatially-situated visual cues. While many approaches leverage AR to guide motion,…

Real-time hand articulations tracking is important for many applications such as interacting with virtual / augmented reality devices or tablets. However, most of existing algorithms highly rely on expensive and high power-consuming GPUs to…

计算机视觉与模式识别 · 计算机科学 2015-10-20 Byeongkeun Kang , Yeejin Lee , Truong Q. Nguyen

A tracking system that will be used for Augmented Reality (AR) applications has two main requirements: accuracy and frame rate. The first requirement is related to the performance of the pose estimation algorithm and how accurately the…

机器人学 · 计算机科学 2017-04-21 Erkan Bostanci , Betul Bostanci , Nadia Kanwal , Adrian F. Clark

Event cameras are promising devices for lowlatency tracking and high-dynamic range imaging. In this paper,we propose a novel approach for 6 degree-of-freedom (6-DoF)object motion tracking that combines measurements of eventand frame-based…

计算机视觉与模式识别 · 计算机科学 2022-04-11 Haolong Li , Joerg Stueckler

This article describes a comprehensive system for surveillance and monitoring applications. The development of an efficient real time video motion detection system is motivated by their potential for deployment in the areas where security…

计算机视觉与模式识别 · 计算机科学 2011-10-03 Sumita Mishra

We study active object tracking, where a tracker takes as input the visual observation (i.e., frame sequence) and produces the camera control signal (e.g., move forward, turn left, etc.). Conventional methods tackle the tracking and the…

计算机视觉与模式识别 · 计算机科学 2018-06-04 Wenhan Luo , Peng Sun , Fangwei Zhong , Wei Liu , Tong Zhang , Yizhou Wang

Augmented Reality, or simply AR, is the incorporation of information in digital format that includes live footage of a certain user's real-time environment. Also now, various universities are using Augmented Reality. Applying the technology…

人机交互 · 计算机科学 2021-09-07 Carlo H. Godoy

We present a challenging and realistic novel dataset for evaluating 6-DOF object tracking algorithms. Existing datasets show serious limitations---notably, unrealistic synthetic data, or real data with large fiducial markers---preventing…

计算机视觉与模式识别 · 计算机科学 2018-09-10 Mathieu Garon , Denis Laurendeau , Jean-François Lalonde

Augmented Reality has been subject to various integration efforts within industries due to its ability to enhance human machine interaction and understanding. Neural networks have achieved remarkable results in areas of computer vision,…

计算机视觉与模式识别 · 计算机科学 2020-01-17 Linh Kästner , Daniel Dimitrov , Jens Lambrecht

Fast and accurate eye tracking in a virtual reality or augmented reality headset could lead to better display performance and enable novel methods of user interaction with the system. However, it remains a challenge for a system to combine…

Guidance for assemblable parts is a promising field for augmented reality. Augmented reality assembly guidance requires 6D object poses of target objects in real time. Especially in time-critical medical or industrial settings, continuous…

计算机视觉与模式识别 · 计算机科学 2024-02-13 Shiyu Li , Hannah Schieber , Niklas Corell , Bernhard Egger , Julian Kreimeier , Daniel Roth

Online multi-object tracking (MOT) is extremely important for high-level spatial reasoning and path planning for autonomous and highly-automated vehicles. In this paper, we present a modular framework for tracking multiple objects…

计算机视觉与模式识别 · 计算机科学 2019-02-20 Akshay Rangesh , Mohan M. Trivedi