Detection of repeated structures in facade images

Wenzel, Susanne; Drauschke, Martin; Förstner, Wolfgang

doi:10.1134/s1054661808030073

Cited by 24 publications

(18 citation statements)

References 7 publications

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“…Repetitions are usually hypothesized from the matching of local image features, and repetition are often detected as a set of sparse repeated features by growing or tracking from the small sets of initial features towards their immediate spatial neighbors [6,7,8,9,10,11]. Dense detection of repetition requires the determination of the boundaries of repeating elements.…”

Section: Related Workmentioning

confidence: 99%

Detecting Large Repetitive Structures with Salient Boundaries

Frahm

Pollefeys

2010

Computer Vision – ECCV 2010

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Abstract. This paper presents a novel robust and efficient framework to analyze large repetitive structures in urban scenes. A particular contribution of the proposed approach is that it finds the salient boundaries of the repeating elements even when the repetition exists along only one direction. A perspective image is rectified based on vanishing points computed jointly from edges and repeated features detected in the original image by maximizing its overall symmetry. Then a feature-based method is used to extract hypotheses of repetition and symmetry from the rectified image, and initial repetition regions are obtained from the supporting features of each repetition interval. To maximize the local symmetry of each element, their boundaries along the repetition direction are determined from the repetition of local symmetry axes. For any image patch, we define its repetition quality for each repetition interval conditionally with a suppression of integer multiples of repetition intervals. We determine the boundary along the non-repeating direction by finding strong decreases of the repetition quality. Experiments demonstrate the robustness and repeatability of our repetition detection.

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Section: Related Workmentioning

confidence: 99%

Detecting Large Repetitive Structures with Salient Boundaries

Frahm

Pollefeys

2010

Computer Vision – ECCV 2010

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“…In particular, many authors have investigated methods for detecting regularly repeating patterns [1], [2]. More recently, Loy and Eklundh [3] focused on grouping of features based on symmetry, and Wenzel et al [4] proposed an algorithm that uses symmetry to detect repetitive structures in facade images. They argued that symmetry is a strong clue to group features together.…”

Section: R Wmentioning

confidence: 99%

Unsupervised discovery of repetitive objects

Shin

Triebel

Siegwart

2010

2010 IEEE International Conference on Robotics and Automation

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“…Main objects of interest, when dealing with facade images, are windows. At mid-level, many works deal with window detection (Lee and Nevatia, 2004;Ali et al, 2007;Recky and Leberl, 2010) or exploit repetitive structures to capture grids of windows (Wenzel et al, 2007;Tylecek and Sara, 2010;Wendel et al, 2010;Park et al, 2010). In contrast to object detection, pixelwise labelling is used to yield a facade segmentation.…”

Section: Related Workmentioning

confidence: 99%

Facade Interpretation Using a Marked Point Process

Wenzel¹,

Förstner²

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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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.

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Detection of repeated structures in facade images

Cited by 24 publications

References 7 publications

Detecting Large Repetitive Structures with Salient Boundaries

Detecting Large Repetitive Structures with Salient Boundaries

Unsupervised discovery of repetitive objects

Facade Interpretation Using a Marked Point Process

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