Building Facade Recognition from Aerial Images using Delaunay Triangulation Induced Feature Perceptual Grouping

This paper presents a novel feature grouping based framework for building facade recognition from aerial images. A combination of Maximally Stable Extremal Regions (MSERs and steered Determinant-of-Hessian (steered-DoH) are proposed to detect different shapes of blobs from images. Then we employ local parallelogram grouped by these repetitive and evenly distributed blobs to form an point-based regularity measurement. Building facade regions are indicated by these local parallelograms. In our work, we use Delaunay Triangulation (DT) to guide the search of local parallelograms. Our approach can handle images with large range of resolution. Vertical and horizontal assumptions of facades are not required. The experimental results conducted on images with different resolutions and different types of facades demonstrate superior performance on facade recognition both in terms of speed and accuracy (F-1 - score over 80%) over state-of-the-art methods.China Scholarship CouncilCPCI-S(ISTP)3368-337