An Augmented Reality Based User Interface Model for Full Body Interaction using Monocular 3D Pose Estimation
نویسندگان
چکیده
In this paper, we present a conceptual design of augmented reality full body interaction based on monocular 3D pose estimation. The proposed design is based on 3D pose estimation from the image of user’s motions captured by a monocular camera and the processing of 3D human poses for augmented reality applications. Based on the method, a 3D human full body model is constructed. The silhouettes extraction from the image captured is being matched with the projection on a virtual image plane. Multipart alignment is used to adjust 3D poses of the graphical 3D human full body based on silhouettes extraction. Each of body part alignment will be used to define a set of vector of body parts represented as a skeleton model. The obtained model is used to identify the human pose and the associated 3D motion parameters. The vector for each body part is used as 3D pose information in the proposed augmented reality system to achieve the marker-free interaction in the augmented environment. This method will be applied for interaction in augmented reality (AR) environment.
منابع مشابه
Augmented Reality with Human Body Interaction Based on Monocular 3D Pose Estimation
We present an augmented reality interface with markerless human body interaction. It consists of 3D motion capture of the human body and the processing of 3D human poses for augmented reality applications. A monocular camera is used to acquire the images of the user’s motion for 3D pose estimation. In the proposed technique, a graphical 3D human model is first constructed. Its projection on a v...
متن کاملCamera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images
In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...
متن کاملRobust Pose Estimation for Outdoor Mixed Reality with Sensor Fusion
We present a sensor fusion based technique for outdoor augmented reality system for mobile devices using GPS, gyroscope, and geo-referenced 3D models of the urban environment. Geo-spatial interaction not only provides overlays of the existing environment but compliments with other data such as location-specific photos, videos and other information from different time periods enhancing the overa...
متن کاملMonocular Pose Reconstruction for an Augmented Reality Clothing System
In this paper, we present an approach for realizing an augmented reality system for try-on of apparel. The core component of our system is a quick human pose estimation algorithm based on a single camera view only. Due to monocular input data, pose reconstruction may be ambiguous. We solve this problem by using a markered suit, though not relying on any specific marker layout. To recover 3D joi...
متن کاملAdaptive Monocular Visual–Inertial SLAM for Real-Time Augmented Reality Applications in Mobile Devices
Simultaneous localization and mapping (SLAM) is emerging as a prominent issue in computer vision and next-generation core technology for robots, autonomous navigation and augmented reality. In augmented reality applications, fast camera pose estimation and true scale are important. In this paper, we present an adaptive monocular visual-inertial SLAM method for real-time augmented reality applic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012