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Computationally efficient retrieval-based tracking system and augmented reality for large-scale areas

Computationally efficient retrieval-based tracking system an...

引用

2011 IEEE Workshop on Applications of computer Vision, WACV 2011

作者： Guan, Wei You, Suya Neumann, Ulrich Computer Graphics and Immersive Technologies Laboratory University of Southern California United States

ISBN: (纸本)9781424494965

We present a retrieval-based tracking system that requires less computational time and cost. The system tracks a user's location through a small portion of an image captured by the camera, and then refines the camera pose by propagating matchings to the whole image. Augmented information such as building names and locations will be delivered to the user. The progressive way to process image data not only can provide the user with location information at real-time speed, but more importantly, it reduces the feature matching time by limiting the searching ranges. The proposed system contains two parts, offline database building and online user tracking. The database is composed of image patches with features and location information. The images are captured at different locations of interests from different viewing angles and distances, and then these images are partitioned into smaller patches. The location of a user can be calculated by querying one or more patches of the captured image. Moreover, the system is capable to handle large occlusions in images due to the patch approach. Experiments show that the proposed tracking system is efficient and robust in many different environments. © 2010 IEEE.

关键词： Cameras

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3D reconstruction of urban areas

3D reconstruction of urban areas

引用

International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission

作者： Poullis, Charalambos You, Suya Cyprus University of Technology Immersive and Creative Technologies Lab. Limassol Cyprus University of Southern California Computer Graphics and Immersive Technologies Lab. Los Angeles United States

ISBN: (纸本)9780769543697

Virtual representations of real world areas are increasingly being employed in a variety of different applications such as urban planning, personnel training, simulations, etc. Despite the increasing demand for such realistic 3D representations, it still remains a very hard and often manual process. In this paper, we address the problem of creating photorealistic 3D scene models for large-scale areas and present a complete system. The proposed system comprises of two main components: (1) A reconstruction pipeline which employs a fully automatic technique for extracting and producing high-fidelity geometric models directly from Light Detection and Ranging (LiDAR) data and (2) A flexible texture blending technique for generating high-quality photorealistic textures by fusing information from multiple optical sensor resources. The result is a photorealistic 3D representation of large-scale areas(city-size) of the real-world. We have tested the proposed system extensively with many city-size datasets which confirms the validity and robustness of the approach. The reported results verify that the system is a consistent work flow that allows non-expert and non-artists to rapidly fuse aerial LiDAR and imagery to construct photorealistic 3D scene models. © 2011 IEEE.

关键词： Optical radar

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GPS-aided recognition-based user tracking system with augmented reality in extreme large-scale areas

GPS-aided recognition-based user tracking system with augmen...

引用

2nd Annual ACM Multimedia Systems Conference, MMSys'11

作者： Guan, Wei You, Suya Neumann, Ulrich University of Southern California Los Angeles CA United States Computer Graphics and Immersive Technologies Computer Science USC United States

ISBN: (纸本)9781450305181

We present a recognition-based user tracking and augmented reality system that works in extreme large scale areas. The system will provide a user who captures an image of a building facade with precise location of the building and augmented information about the building. While GPS cannot provide information about camera poses, it is needed to aid reducing the searching ranges in image database. A patch-retrieval method is used for efficient computations and real-time camera pose recovery. With the patch matching as the prior information, the whole image matching can be done through propagations in an efficient way so that a more stable camera pose can be generated. Augmented information such as building names and locations are then delivered to the user. The proposed system mainly contains two parts, offline database building and online user tracking. The database is composed of images for different locations of interests. The locations are clustered into groups according to their UTM coordinates. An overlapped clustering method is used to cluster these locations in order to restrict the retrieval range and avoid ping pong effects. For each cluster, a vocabulary tree is built for searching the most similar view. On the tracking part, the rough location of the user is obtained from the GPS and the exact location and camera pose are calculated by querying patches of the captured image. The patch property makes the tracking robust to occlusions and dynamics in the scenes. Moreover, due to the overlapped clusters, the system simulates the "soft handoff" feature and avoid frequent swaps in memory resource. Experiments show that the proposed tracking and augmented reality system is efficient and robust in many cases. Copyright 2010 ACM.

关键词： Cameras

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Computationally efficient retrieval-based tracking system and augmented reality for large-scale areas

Computationally efficient retrieval-based tracking system an...

引用

IEEE Workshop on Applications of computer Vision (WACV)

作者： Wei Guan Suya You Ulrich Neumann Computer Graphics and Immersive Technologies Laboratory University of Southern California USA Computer Graphics and Immersive Technologies Laboratory University of Southern California

关键词： Databases Cameras Visualization Vocabulary Robots Quantization Robustness

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Recognition-driven 3D navigation in large-scale virtual environments

Recognition-driven 3D navigation in large-scale virtual envi...

引用

IEEE Annual International Symposium Virtual Reality

作者： Wei Guan Suya You Ulrich Neumann Computer Graphics and Immersive Technologies University of Southern California USA

We present a recognition-driven navigation system for large-scale 3D virtual environments. The proposed system contains three parts, virtual environment reconstruction, feature database building and recognition-based navigation. The virtual environment is reconstructed automatically with LIDAR data and aerial images. The feature database is composed of image patches with features and registered location and orientation information. The database images are taken at different distances from the scenes with various viewing angles, and these images are then partitioned into smaller patches. When a user navigates the real world with a handheld camera, the captured image is used to estimate its location and orientation. These location and orientation information are also reflected in the virtual environment. With the proposed patch approach, the recognition is robust to large occlusions and can be done in real time. Experiments show that our proposed navigation system is efficient and well synchronized with real world navigation.

关键词： Navigation Cameras Databases Three dimensional displays Virtual environment Buildings Visualization

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3D Reconstruction of Urban Areas

3D Reconstruction of Urban Areas

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Charalambos Poullis Suya You Immersive and Creative Technologies Laboratory Cyprus University of Technology Limassol Cyprus Computer Graphics and Immersive Technologies Laboratory University of Southern California Los Angeles USA

Virtual representations of real world areas are increasingly being employed in a variety of different applications such as urban planning, personnel training, simulations, etc. Despite the increasing demand for such realistic 3D representations, it still remains a very hard and often manual process. In this paper, we address the problem of creating photo realistic 3D scene models for large-scale areas and present a complete system. The proposed system comprises of two main components: (1) A reconstruction pipeline which employs a fully automatic technique for extracting and producing high-fidelity geometric models directly from Light Detection and Ranging (LiDAR) data and (2) A flexible texture blending technique for generating high-quality photo realistic textures by fusing information from multiple optical sensor resources. The result is a photo realistic 3D representation of large-scale areas(city-size) of the real-world. We have tested the proposed system extensively with many city-size datasets which confirms the validity and robustness of the approach. The reported results verify that the system is a consistent work flow that allows non-expert and non-artists to rapidly fuse aerial LiDAR and imagery to construct photo realistic 3D scene models.

关键词： Three dimensional displays Solid modeling Cameras Image reconstruction Buildings Geometry Computational modeling

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A robust approach for automatic registration of aerial images with untextured aerial LiDAR data

A robust approach for automatic registration of aerial image...

引用

Conference on computer Vision and Pattern Recognition (CVPR)

作者： Lu Wang Ulrich Neumann Computer Graphics and Immersive Technologies Laboratory University of Southern California USA

Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D LiDAR data typically has no texture information. To generate photo-realistic 3D models, oblique aerial images are needed for texture mapping, in which the key step is to obtain accurate registration between aerial images and untextured 3D LiDAR data. We present a robust automatic registration approach. A novel feature called 3CS is proposed which is composed of connected line segments. Putative line segment correspondences are obtained by matching 3CS features detected from both aerial images and 3D LiDAR data. Outliers are removed with a two-level RANSAC algorithm that integrates local and global processing to improve robustness and efficiency. The approach has been tested on 2290 aerial images that cover a variety of urban environments in Oakland and Atlanta areas. Its correct pose recovery rate is over 98%.

关键词： Robustness Laser radar Cameras Global Positioning System Large-scale systems Image segmentation Urban planning Cities and towns Videos Image generation

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Single View Camera Calibration for Augmented Virtual Environments

Single View Camera Calibration for Augmented Virtual Environ...

引用

IEEE Annual International Symposium Virtual Reality

作者： Lu Wang Suya You Ulrich Neumann Computer Graphics and Immersive Technologies Laboratory University of Southern California USA

Augmented virtual environments (AVE) are very effective in the application of surveillance, in which multiple video streams are projected onto a 3D urban model for better visualization and comprehension of the dynamic scenes. One of the key issues in creating such systems is to estimate the parameters of each camera including the intrinsic parameters and its pose relative to the 3D model. Existing camera pose estimation approaches require known intrinsic parameters and at least three 2D to 3D feature (point or line) correspondences. This cannot always be satisfied in an AVE system. Moreover, due to noise, the estimated camera location may be far from the expectation of the users when the number of correspondences is small. Our approach combines the users' prior knowledge about the camera location and the constraints from the parallel relationship between lines with those from feature correspondences. With at least two feature correspondences, it can always output an estimation of the camera parameters that gives an accurate alignment between the projection of the image (or video) and the 3D model

关键词： Cameras Calibration Virtual environment Layout Surveillance Urban planning Visualization Augmented reality Matrix decomposition Electronic mail

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Real-time hand pose recognition using low-resolution depth images

Real-time hand pose recognition using low-resolution depth i...

引用

2006 IEEE computer Society Conference on computer Vision and Pattern Recognition, CVPR 2006

作者： Mo, Zhenyao Neumann, Ulrich University of Southern California Computer Graphics and Immersive Technologies Lab.

ISBN: (纸本)0769525970

Gesture recognition methods based on intensity or color images often suffer from low efficiency and lack of robustness. In this paper, we employ a new laser-based camera that produces reliable low-resolution depth images at video rates. By decomposing and recognizing hand poses as finger states (finger poses and finger inter-relations), we achieve robust hand pose recognition in real-time (30 frames/second). © 2006 IEEE.

关键词： Gesture recognition

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Model-driven video-based rendering for vehicles

Model-driven video-based rendering for vehicles

引用

2006 Conference on computer Vision and Pattern Recognition Workshops

作者： Sebe, Ismail Oner You, Suya Neumann, Ulrich Computer Graphics and Immersive Technologies Laboratory PHE 108 3737 Watt Way Los Angeles CA 90089

ISBN: (纸本)0769526462

We present a video-based rendering (VBR) method that creates arbitrary views of the scene from images captured by a single un-calibrated camera. The system is model-based and focused on a single object class, specifically vehicles in this paper. The procedure has three main steps. First, the object is rapidly modeled from a single image using a simple interactive tool. The modeling tool creates high quality 3D models by facilitating constrained modifications to a generic model of the object class. Secondly, the dynamic object is tracked in the video sequence and the pose of the object is recorded. The tracking and pose estimation leverage the 3D model to ensure high accuracy. Lastly, the surrounding scene is modeled as a texturedpiece-wise planar approximation. A free-viewpoint rendering of the video (4D video) is then produced as needed for special effects or virtual reality applications. The versatility and effectiveness of our approach to modeling and rendering is demonstrated on the object class of vehicles. © 2006 IEEE.

关键词： Vehicle locating systems

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