Facade Interpretation Using a Marked Point Process

Abstract

ABSTRACT:Our objective is the interpretation of facade images in a top-down manner, using a Markov marked point process formulated as a Gibbs process. Given single rectified facade images, we aim at the accurate detection of relevant facade objects as windows and entrances, using prior knowledge about their possible configurations within facade images. We represent facade objects by a simplified rectangular object model and present an energy model, which evaluates the agreement of a proposed configuration with the given image and the statistics about typical configurations, which we learned from training data. We show promising results on different datasets and provide a qualitative evaluation, which demonstrates the capability of complete and accurate detection of facade objects.

Automatic Generation of Building Models With Levels of Detail 1-3

“…We are not able to detect such windows based on relative depth information, so we need a further analysis, e.g., of the rectified façade image. This can be done by employing the grammar based approaches (Teboul et al, 2013, Martinovic andVan Gool, 2014) or by façade image interpretation, e.g., by convolutional networks (Schmitz and Mayer, 2016) or by a marked point process (Wenzel and Förstner, 2016). …”

Hierarchical Grouping — The Gestalt Assessments Method

“…She emphasizes re-occurrence over different scales, and uses this property for foreground recognition, haze removal and so forth. Much work in field had façade analysis as focus [7] [8]. The most successful methods rely on grammars and sophisticated statistical sampling methods for the search.…”