Author: Jordi Magdaleno Maltas
Publisher:
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Languages : en
Pages :
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This thesis presents how to obtain a real-time 3D reconstruction of a non-structured scene using multiple RGB-D cameras with the aim to use it for robot planning. Several techniques have been developed, starting from raycasting. In order to obtain better speeds some point filtering procedures have been used. Finally, a temporal filtering technique is used to replace the raycasting approach, and to provide a better reconstruction, a sparse points filter is implemented.
Author: Simon Vanneste
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Category :
Languages : en
Pages :
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Author: Thomas Roefer
Publisher: Springer
ISBN: 3642320600
Category : Computers
Languages : en
Pages : 624
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This book includes the thoroughly refereed post-conference proceedings of the 15th Annual RoboCup International Symposium, held in Istanbul, Turkey, in July 2011. The 12 revised papers and 32 poster presentation presented were carefully reviewed and selected from 97 submissions. The papers are orginazed on topical sections on robot hardware and software, perception and action, robotic cognition and learning, multi-robot systems, human-robot interaction, education and edutainment and applications.
Author: Owen Watson
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Languages : en
Pages :
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Each pair is aligned by a two-phase procedure that transforms the data from the coordinate system of the camera at a lower level in the alignment tree to that of the higher. The transformation between each pair is catalogued and used to reconstruction of incoming frames from the cameras. Once calibrated, cameras are assumed to be independent and their successive frames are compared to detect motion. The catalogued transformations are updated on instances that motion is detected essentially correcting misalignment. \par At the end of the calibration process the reconstructed scene generated from the combined data would contain relative alignment accuracy throughout all regions. Using this proposed algorithm reconstruction accuracy of over 90% was achieved for systems calibrated with the angle between the cameras 45 degrees or more. Once calibrated the cameras can observe and reconstruct a scene on every frame. This is reliant on the assumption that the cameras will be fixed; however, in a practical sense this cannot be guaranteed. Systems maintained over 90% reconstruction accuracy during operation with induced misalignment. This procedure also maintained the reconstruction accuracy from calibration during execution for up to an hour. The fundamental contribution of this work is the novel concept of using overlap as a means of expressing how a group of cameras are connected. Building a spanning tree representation of the given system of cameras provides a useful structure for uniquely expressing the relationship between the cameras. A calibration procedure that is effective with low overlapping views is also contributed. The final contribution is a procedure to maintain reconstruction accuracy overtime in a mostly static environment.
Author: Shakil Ahmed
Publisher:
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Category :
Languages : en
Pages : 0
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3D registration of depth images has been studied extensively in the past. With emergence of low cost RGB-D cameras, many applications have emerged. Yet, the quality of alignment has much to improve. It remains a challenge to create a 3D model of the environment with high accuracy which could be used for engineering applications. Moreover, challenging scenarios where features are scarce, handling large areas as scene, enabling the user to freely roam around the scene for image acquisition in a practical manner, guiding the user in taking better images and accomplishing all of this with low cost RGB-D camera in real time is a subject which is yet to be improved. In this thesis, we address all this challenges by designing and implementing a mobile system that rely on markers. Our system detects and matches markers in real-time with very low CPU load. Moreover, this mobile 3D reconstruction system is interactive which enables a user not only to move freely while doing 3D reconstruction, but also makes the user aware of current status of 3D reconstruction in real-time.
Author: 謝亞
Publisher:
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Languages : en
Pages : 0
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Author: Hanyu Deng
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Category :
Languages : en
Pages : 33
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Author: David Coombs
Publisher: Forgotten Books
ISBN: 9781528210737
Category : Science
Languages : en
Pages : 28
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Excerpt from Real-Time Obstacle Avoidance Using Central Flow Divergence and Peripheral Flow The lure of using motion vision as a fundamental element in the perception of space drives this ejfort to use flow features as the sole cues for robot mobility. Real-time estimates of image flow and flow divergence provide the robot's sense of space. The robot steers down a conceptual corridor; comparing left and right peripheral flows. Large central flow divergence warns the robot of impending col lisions at dead ends. When this occurs, the robot turns around and resumes wandering. Behavior is generated by directly using flow-based information in the 2-d image sequence; no 3-d reconstruction is attempted. Active mechanical gaze stabilization simplifies the visual interpretation problems by reducing camera rota tion. By combining corridor following and dead-end deflection, the robot has wan dered around the lab at 30 cm/s for as long as 20 minutes without collision. The ability to support this behavior in real-time with current equipment promises expanded capabilities as computational power increases in the future. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Author: Mayoore Selvarasa Jaiswal
Publisher:
ISBN:
Category :
Languages : en
Pages : 123
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With the introduction of economical depth cameras, computer vision research has made a huge leap forward in 3D reconstruction and understanding. However, the quality of the depth images are limited: 1) depth images contain holes and random noise due to the characteristics of the cameras and the physical world, and 2) depth images have a lower spatial resolution. These challenges make 3D object reconstruction with a limited number of RGB-D frames a difficult task. In this dissertation, we propose a method to construct 3D object models with a limited number of RGB and depth frames. We developed a complete 3D object model construction process with automatic object segmentation, pairwise registration, global alignment, model denoising, and texturing, and studied the effects of these functions on the constructed 3D object models. We also developed a process for objective performance evaluation of the constructed 3D object models. High-quality depth images are paramount to create quality 3D object models. Many depth denoising methods blur object boundaries. Partial point clouds created from depth images denoised by these methods have artifacts that make them unsuitable for 3D object modeling. We propose a method to find the clean depth edge image using the noisy depth image and a color image, then use this clean depth edge image with the proposed edge and color aware adaptive trilateral filter to obtain denoised depth images. Finally, we propose to apply depth denoising and depth super-resolution in the 3D object modeling process. We preprocess depth images with the proposed depth denoising method and a state-of-the-art depth super-resolution method, then experiment the use of these preprocessed depth images under various conditions in the 3D object modeling process. We show that depth denoising and super-resolution can improve the quality of the 3D object models.
Author: Marco Diaz Lopez
Publisher:
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Category :
Languages : it
Pages :
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