DocumentCode :
579410
Title :
An automated and accurate procedure for texture mapping from images
Author :
Previtali, M. ; Barazzetti, L. ; Scaioni, M.
Author_Institution :
Dept. of Building Environ. Sci. & Technol., Politec. di Milano, Milan, Italy
fYear :
2012
fDate :
2-5 Sept. 2012
Firstpage :
591
Lastpage :
594
Abstract :
The possibility of deriving 3D digital models characterized by having and accurate description of real objects and surfaces is nowadays possible using both laser scanning surveys and Photogrammetric or Computer Vision methodologies. In conjunction with the development of these techniques also the request of photorealistic models raised up. Texture mapping allows this result mapping the image information onto the digital surface. In many cases commercial software applications require an high amount of manual modeling to achieve satisfactory results. In this work we present a novel texture mapping approach aiming in reducing at minimum the human intervention. In particular we are focusing on two different aspects: filtering out occluded areas from the texturing phase and the correction of color and brightness among images to reduce sharp texture transitions.
Keywords :
colour graphics; computer vision; hidden feature removal; image colour analysis; image texture; optical scanners; photogrammetry; solid modelling; 3D digital model; commercial software applications; computer vision; digital surface; image brightness correction; image color correction; image texture mapping; laser scanning; manual modeling; occluded area filtering; photogrammetric; photorealistic model; sharp texture transition reduction; Brightness; Cameras; Computational modeling; Image color analysis; Radiometry; Solid modeling; Tin; 3D models; color correction; texture mapping; visibility analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Systems and Multimedia (VSMM), 2012 18th International Conference on
Conference_Location :
Milan
Print_ISBN :
978-1-4673-2564-6
Electronic_ISBN :
978-1-4673-2563-9
Type :
conf
DOI :
10.1109/VSMM.2012.6365984
Filename :
6365984
Link To Document :
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