Towards automatic 3D reconstruction of urban scenes from low-altitude aerial images

We propose a methodology for reconstructing large– scale architectural scenes from low–altitude aerial images, in an efficient, accurate and fully automatic way. Towards this goal, we have developed an area–based segmentation technique, called Colored Watershed, that is particularly suited to segment objects with homogeneous photometric properties, which are typical of such scenes. This technique is now being combined with a dense–stereo method biased towards depth discontinuities near the edges of the segmented objects. In a final step, parametric models of these segmented objects will be instantiated and directly adjusted to the multiple images available to generate a mixed surface and elevation map for each scene.

• Type: Conference
• Year: 2003
• Where: ICIAP
• Authors: Adriano B. Huguet, Rodrigo L. Carceroni, Arnaldo de Albuquerque Araújo
• Keywords: Homogeneous Photometric Properties, ICIAP 2003, Image Processing, Scale Architectural Scenes, Segmented Objects