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全景三维虚拟系统构建方法研究 被引量:24

New method for construction of 3D panoramic virtual system
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摘要 三维GIS系统实现了现实世界的虚拟化表达,但是所生成的三维场景缺乏真实感,全景技术的三维再现能力,虽然可弥补三维GIS表达上的缺陷,但是缺乏全局可浏览性。以环拍的图像序列为对象,利用Sift(scale invariant feature transform)算子实现全景图的自动拼接,通过Pano2VR软件实现全景图的操纵配置;结合Skyline三维软件,以福建师范大学为例,实现全景三维校园网络浏览系统。该系统具有良好沉浸性、多角度可浏览性,使用户具有真实的三维视觉体验;实现方式简单、构建快速,也为旅游景点、酒店、房地产等小范围场景的全景三维展示提供借鉴。 3D GIS can represent the real world in virtual way, even though it overlooks the sense of reality, while the panoramic image records the real scene but no easy to browse the scenes in whole situation without proper methods. They could be the perfect couple to express our real world. The automatic stitching of panoramic image is achieved based on SIFT (scale invariant feature transform) from the images collected by the ordinary camera. And then the configurations for controls of panoramic image are set by the Pano2VR. Based on the process mentioned above, Fujian Normal University is taken as an example, the panoramic three-dimensional campus web browsing system is realized by combining with the development of the skyline software. The system could give the audience a good 3D visual experience. And the process to construct this system is quickly and simply.
作者 吴勇 罗腾元
出处 《计算机工程与设计》 CSCD 北大核心 2014年第5期1858-1861,共4页 Computer Engineering and Design
基金 国家自然基金青年基金项目(41201417) 福建省青年科技人才创新基金项目(2011J05104)
关键词 图像匹配 全景图 三维GIS SIFT SKYLINE Pano2VR image matching panorama 3DGIS SIFT Skyline Pano2VR
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  • 1孙宁,冀贞海,邹采荣,赵力.基于局部二元模式算子的人脸性别分类方法[J].华中科技大学学报(自然科学版),2007,35(S1):177-181. 被引量:20
  • 2林诚凯,李惠,潘金贵.一种全景图生成的改进算法[J].计算机工程与应用,2004,40(35):69-71. 被引量:7
  • 3Szeliski R.Video mosaics for virtual environments[J].IEEE Computer Graphics and Applications, 1996,16(2) :22-30.
  • 4Liu Hanzhou,Guo Baolong,Feng Zongzhe.Pesudo-log-po-lar fourier transform for image registration[J].IEEE Signal Processing Letters, 2006,13( 1 ) : 17-20.
  • 5Lowe D G.Distinctive image features from scale-invariant keypoint[J]. International Journal of Computer Vision, 2004,60(2) : 91 - 110.
  • 6Fischler M A,Bolles R C.Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of ACM,1981,24(6):381-395.
  • 7Li J, Allinson N M. A comprehensive review of current local features for computer vision [J]. Neurocomputing, 2008, 71 (10/12) : 1771-1787.
  • 8Mikolajczyk K, Tuytelaars T, Schmid C, etal. A comparison of affine region detectors [J]. International Journal of Computer Vision, 2005, 65(1/2): 43-72.
  • 9Mikolajczyk K, Sehmid C. A performance evaluation of local descriptors [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10): 1615-1630.
  • 10Lowe D G. Distinctive image features from seale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

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