Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/4870
Title: A local adaptive approach for dense stereo matching in architectural scene reconstruction
Authors: Στεντούμης, Χρήστος
Γραμματικόπουλος, Λάζαρος
Καλησπεράκης, Ηλίας
Πέτσα, Έλλη
Καρράς, Γιώργος
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Matching theory;Correlation (Statistics);Surface;Reconstruction;Point Cloud
Subjects: Topography
Geodesy
Τοπογραφία
Γεωδαισία
Issue Date: 27-Jan-2015
25-Feb-2013
Date of availability: 27-Jan-2015
Abstract: In recent years, a demand for 3D models of various scales and precisions has been growing for a wide range of applications; among them, cultural heritage recording is a particularly important and challenging field. We outline an automatic 3D reconstruction pipe-line, mainly focusing on dense stereo-matching which relies on a hierarchical, local optimization scheme. Our matching framework consists of a combination of robust cost measures, extracted via an intuitive cost aggregation support area and set within a coarse-to-fine strategy. The cost function is formulated by combining three individual costs: a cost computed on an extended census transfor-mation of the images; the absolute difference cost, taking into account information from colour channels; and a cost based on the principal image derivatives. An efficient adaptive method of aggregating matching cost for each pixel is then applied, relying on li-nearly expanded cross skeleton support regions. Aggregated cost is smoothed via a 3D Gaussian function. Finally, a simple ‘winner-takes-all’ approach extracts the disparity value with minimum cost. This keeps algorithmic complexity and system computational re-quirements acceptably low for high resolution images (or real-time applications), when compared to complex matching functions of global formulations. The stereo algorithm adopts a hierarchical scheme to accommodate high-resolution images and complex scenes. In a last step, a robust post-processing work-flow is applied to enhance the disparity map and, consequently, the geometric quality of the reconstructed scene. Successful results from our implementation, which combines pre-existing algorithms and novel considera-tions, are presented and evaluated on the Middlebury platform
Language: English
Citation: Stentoumis, C., Grammatikopoulos., L., Kalisperakis., I. Petsa E., and Karras., G. (2013). A local adaptive approach for dense stereo matching in architectural scene reconstruction . 5th International Workshop on 3D Virtual Reconstruction and Visualization of Complex Architectures (3D-ARCH '2013), 25-26/02/ 2013, Trento, Italy. Available from: http://portal.survey.ntua.gr/main/labs/photo/staff/gkarras/Karras_3DArch_2013.pdf
Conference: 5th International Workshop on 3D Virtual Reconstruction and Visualization of Complex Architectures
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/4870
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