关键词：
Shape from images;Shape from silhouette;Viewing line;Visual hull
摘要：
Visual hull of object has been widely applied in many fields in computer vision. The methods computing visual hulls are mainly classified into two categories: surface-based approaches and volume-based approaches. Surface-based approaches are precise and lack robustness while volume-based approaches are robust but inaccurate and work slowly. However, the speeds of both methods cannot satisfy the demand of real-time application. The paper proposes a novel method to compute visual hull rapidly. To this aim, the method is based on viewing lines. First, the viewing lines are computed from all the contours of the object from different viewpoints. Secondly, the viewing lines are confined within limits and sampled into some dispersive points. Thirdly, a sequence of images of the object is used to exclude points which locate outside the surface of the visual hull. Finally, a water-tight surface of visual hull is extracted from the remnant points. Experiments with real data are conducted to test the rapidity of the proposed method. (C) 2013 Elsevier GmbH. All rights reserved.
作者机构：
[Gang Zhao; Chen LiJuan; Ye QiuXu] College of Information Technology, Journalism and Communications, Huazhong Normal University
会议名称：
Conference on Education Technology and Management Science
会议时间：
2013-06-08
会议地点：
Nanjing(CN)
会议论文集名称：
Conference on education technology and management science, v.1
关键词：
Cloud Computing;Educational Information Resource;Sharing and Configuration
摘要：
The sharing and optimized configuration of educational information resources is very important of the realization of fair education. Cloud Computing is a new service computing model, which can integrate, manage and allocate the computing resources distributed on the Internet. In this paper, we discussed with the apply of cloud computing to the sharing of educational resources. The way and the benefit of the cloud computing applying are very carefully investigated. Supplementary strategies of applying cloud computing to solve remained problems are also proposed.
