Extracting Textured Vertical Facades From Controlled Close-Range Imagery

We are developing a system to extract geodetic, textured CAD models from thousands of initially uncontrolled, close-range ground and aerial images of urban scenes. Here we describe one component of the system, which operates after the imagery has been controlled or geo-referenced. This fully automatic component detects signi cant vertical facades in the scene, then extrudes them to meet an inferred, triangulated terrain and procedurally generated roof polygons. The algorithm then estimates for each surface a computer graphics texture, or di use re ectance map, from the many available observations of that surface. We present the results of the algorithm on a complex dataset: nearly 4,000 high-resolution digital images of a small 200 meter square o ce park, acquired from close range under highly varying lighting conditions, amidst signi cant occlusion due both to multiple inter-occluding structures and dense foliage. While the results are of less delity than that would be achievable by ...

• Type: Conference
• Year: 1999
• Where: CVPR
• Authors: Satyan R. Coorg, Seth J. Teller
• Keywords: Complex Dataset, Component Detects Signi, Computer Vision, CVPR 1999, Real-world Dataset, Small 200 Meter, Textured Cad Models