Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/5015
Title: Generation of orthoimages and perspective views with automatic visibility checking and texture blending
Authors: Καρράς, Γιώργος
Γραμματικόπουλος, Λάζαρος
Καλησπεράκης, Ηλίας
Πέτσα, Έλλη
Item type: Journal article
Keywords: Orthorectification software;Surface occlusions;Λογισμικό ορθοαναγωγής;Αποφράξεις επιφάνειας
Subjects: Technology
Photogrammetry
Τεχνολογία
Φωτογραμμετρία
Issue Date: 29-Jan-2015
4-Apr-2007
Date of availability: 29-Jan-2015
Abstract: Conventional orthorectification software cannot handle surface occlusions and image visibility. The approach presented here synthesizes related work in photogrammetry and computer graphics/vision to automatically produce orthographic and perspective views based on fully 3D surface data (supplied by laser scanning). Surface occlusions in the direction of projection are detected to create the depth map of the new image. This information allows identifying, by visibility checking through back-projection of surface triangles, all source images which are entitled to contribute color to each pixel of the novel image. Weighted texture blending allows regulating the local radiometric contribution of each source image involved, while outlying color values are automatically discarded with a basic statistical test. Experimental results from a close-range project indicate that this fusion of laser scanning with multi-view photogrammetry could indeed combine geometric accuracy with high visual quality and speed. A discussion of intended improvements of the algorithm is also included.
Language: English
Citation: Karras, G., Grammatikopoulos, L., Kalisperakis, I. and Petsa, E. (2007). Generation of orthoimages and perspective views with automatic visibility checking and texture blending. Photogrammetric Engineering and Remote Sensing, 73(4), 04/04/2007 pp. 403-411. Available from: http://portal.survey.ntua.gr/main/labs/photo/staff/gkarras/Karras_PERS_2007.pdf.
Journal: Photogrammetric Engineering and Remote Sensing.
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/5015
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