师建辉,康志忠,翟旭

• 1:中国地质大学(北京)
• 2:铁道第三勘察设计院集团有限公司

摘要(Abstract)：

针对建筑物三维模型缺乏强烈的真实感,同时目前对纹理的许多处理工作是依赖于人工这一问题,该文结合建筑物点云数据,对基于手持数码相机拍摄像片的建筑物立面纹理优化方法进行了研究。采用单位四元数法解算大倾角像片外方位元素,解算结果满足纹理精度要求;结合纹理面积、倾斜角度以及树木遮挡3项指标,实现从大量像片中自动选取最优像片;依据色调信息识别出树木遮挡区域并对该区域进行了很好地补偿;在近景影像中引入蚁群算法优化拼接线,实现了多条带多张纹理的自动拼接。最后以手持数码相机拍摄的像片进行实验,实验证明:本文方法可以自动有效地提高纹理质量,得到的立面纹理目视效果真实美观。

关键词(KeyWords)： 建筑物三维模型;数码相机;建筑物点云;建筑立面;纹理优化

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41471360)

作者(Author): 师建辉,康志忠,翟旭

DOI: 10.16251/j.cnki.1009-2307.2017.01.029

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