首页 | 官方网站   微博 | 高级检索  
     

室内三维场景纹理手机图片的自动更新方法
引用本文:马威,熊汉江,郑先伟,龚健雅.室内三维场景纹理手机图片的自动更新方法[J].武汉大学学报(信息科学版),2019,44(2):254.
作者姓名:马威  熊汉江  郑先伟  龚健雅
作者单位:1.深圳大学海岸带地理环境监测国家测绘地理信息局重点实验室, 广东 深圳, 518060
基金项目:国家重点研发计划2016YFB0502203测绘地理信息公益研究项目201512009
摘    要:当前室内三维建模的纹理映射工作主要依赖人工完成,工作量大、处理效率低,且对建模后室内环境的变更难以实现及时更新,导致室内模型纹理存在不真实甚至错误的现象。对此,提出一种室内三维模型纹理手机图片的自动更新方法,该方法主要以手机拍摄的图片为数据源,首先利用智能手机传感器获取拍摄图片的位姿参数,进而通过室内场景理解技术提取图片空间中的三维布局结构,最后与几何模型进行坐标点匹配解算纹理坐标,实现手机图片到三维几何模型的自动纹理映射。实验结果表明,该方法能够利用手机图片数据实现室内环境下的三维模型纹理自动生成及动态更新,有效提高室内三维场景表达的真实性。

关 键 词:手机图片    纹理更新    室内场景理解    结构化预测    融合可视化
收稿时间:2017-07-20

Automatic Textures Updating Method for 3D Indoor Scenes Based on Mobile Phone Images
Affiliation:1.Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China2.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Abstract:Nowadays, the texture mapping for 3D indoor model mostly relies on heavy artificial operation. Its inefficiency and difficulty in realizing texture updating after the change of indoor environment leads to a lot of out-dated and unreal texture in time. To solve this problem, we propose a new method for updating 3D indoor model texture automatically. Using a single realistic image from smartphone, we firstly estimate the spatial layout of the room in the image based on 3D indoor scene understanding. Then, according to phone's direction and position, we find the triangular patches of the targeted wall in the 3D geometric model. At the end, the (u, v) coordinates of the image are calculated by matching the convex points of the layout box with the corresponding patches of the 3D model. The conducted experiments demonstrate that the proposed method can automatically map a single image onto the 3D indoor model, which is meaningful for the augmented reality in the indoor space.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《武汉大学学报(信息科学版)》浏览原始摘要信息
点击此处可从《武汉大学学报(信息科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号