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Title: Automatic multi-image photo-texturing of 3D surface models obtained with laser scanning
Authors: Γραμματικόπουλος, Λάζαρος
Καλησπεράκης, Ηλίας
Καρράς, Γιώργος
Κόκκινος, Τριαντάφυλλος-Φίλης
Πέτσα, Έλλη
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Automation;Texture;Laser scanning;Orthorectification;DEM/DTM;Visualization;Heritage Conservation;Υφή;Αυτοματισμός;Ορθοαναγωγή;Νοερά απεικόνηση;Διατήρησης της πολιτιστικής κληρονομιάς
Subjects: Technology
Issue Date: 29-Jan-2015
Date of availability: 29-Jan-2015
Abstract: The basic photogrammetric deliverable in heritage conservation is orthophotography (and other suitable raster projections) – closely followed today by a growing demand for photo-textured 3D surface models. The fundamental limitation of conventional photogram-metric software is twofold: it can handle neither fully 3D surface descriptions nor the question of image visibility. As a consequence, software which ignores both surface and image occlusions is clearly inadequate for the complex surface topography encountered, as a rule, in conservation or restoration tasks; geometric accuracy and good visual quality are then possible only at the cost of tiresome human interaction, especially in the phase of surface modeling. However, laser scanning and powerful modeling/editing software allow today fast and accurate collection of vast numbers of surface points and the creation of reliable 3D meshes. Close-range photo-grammetry is obviously expected to extend its horizon by taking full advantage of this new possibility. Here an approach is presented for the automated generation of orthoimages and perspective views from fully 3D surface descriptions derived from laser scanning. Initially, the algorithm detects surface occlusions for the novel view. Next – in contrast to conventional photogrammetric software which requires an operator to define individual original images as the source for image content – all avail-able images participate in a view-independent texturing of the new image. Thus, following a bundle adjustment, all surface triangles are back-projected onto all initial images to establish visibilities. Texture “blending” is realised via an appropriate weighting scheme, which regulates the local radiometric contribution of each original image involved. Finally, a basic statistical test allows to automati-cally filter out outlying colour values. At its present stage of implementation, the algorithm has been tried at the example of a Byzan-tine church in Athens. It is concluded that the presented combination of laser scanning with photogrammetry – resulting in geometric accuracy, high visual quality and speed – is essentially capable to automatically create novel views from several images, and hence provide a realistic, practicable approach in heritage conservation. Finally, several elaborations of the approach are also suggested.
Language: English
Citation: Grammatikopoulos, L., Kalisperakis, I., Karras, G., Kokkinos, T. and Petsa, E. (2004). Automatic multi-image photo-texturing of 3D surface models obtained with laser scanning. CIPA International Workshop on Vision Techniques Applied to the Rehabilitation of City Centres, Lisbon, 25-27/10/2004. Available from:
Conference: CIPA International Workshop on Vision Techniques Applied to the Rehabilitation of City Centres
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
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