کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
443049 | 692490 | 2012 | 15 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Sorting unorganized photo sets for urban reconstruction Sorting unorganized photo sets for urban reconstruction](/preview/png/443049.png)
In spite of advanced acquisition technology, consumer cameras remain an attractive means for capturing 3D data. For reconstructing buildings it is easy to obtain large numbers of photos representing complete, all-around coverage of a building; however, such large photos collections are often unordered and unorganized, with unknown viewpoints. We present a method for reconstructing piecewise planar building models based on a near-linear time process that sorts such unorganized collections, quickly creating an image graph, an initial pose for each camera, and a piecewise-planar facade model. Our sorting technique first estimates single-view, piecewise planar geometry from each photo, then merges these single-view models together in an analysis phase that reasons about the global scene geometry. A key contribution of our technique is to perform this reasoning based on a number of typical constraints of buildings. This sorting process results in a piecewise planar model of the scene, a set of good initial camera poses, and a correspondence between photos. This information is useful in itself as an approximate scene model, but also represents a good initialization for structure from motion and multi-view stereo techniques from which refined models can be derived, at greatly reduced computational cost compared to prior techniques.
Figure optionsDownload as PowerPoint slideHighlights
► We compute a piecewise-planar model from unorganized building photos.
► We compute initial camera poses.
► We introduce a “façade graph” to establish facade correspondences across images.
► We accelerate structure-from-motion.
Journal: Graphical Models - Volume 74, Issue 1, January 2012, Pages 14–28