Abstract

Abstract. Texture mapping is a common method for combining surface geometry with image data, with the resulting photorealistic 3D models being suitable not only for visualization purposes but also for interpretation and spatiameasurement, in many application fields, such as cultural heritage and the earth sciences. When acquiring images for creation of photorealistic models, it is usual to collect more data than is finally necessary for the texturing process. Images may be collected from multiple locations, sometimes with different cameras or lens configurations and large amounts of overlap may exist. Consequently, much redundancy may be present, requiring sorting to choose the most suitable images to texture the model triangles. This paper presents a framework for visualization and analysis of the geometric relations between triangles of the terrain model and covering image sets. The application provides decision support for selection of an image subset optimized for 3D model texturing purposes, for non-specialists. It aims to improve the communication of geometrical dependencies between model triangles and the available digital images, through the use of static and interactive information visualization methods. The tool was used for computer-aided selection of image subsets optimized for texturing of 3D geological outcrop models. The resulting textured models were of high quality and with a minimum of missing texture, and the time spent in time-consuming reprocessing was reduced. Anecdotal evidence indicated that an increased user confidence in the final textured model quality and completeness makes the framework highly beneficial.

Highlights

  • The advent of communication and visualization technology has created an increased demand for photorealistic 3D models of real-world scenes

  • This paper presents a framework for visualization and analysis of the geometric relations between triangles of the terrain model and covering image sets (Figure 1)

  • The application was ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I-2, 2012 XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia developed with three main aims: 1) to provide decision support for the selection of an image subset optimized for 3D model texturing, for non-specialists; 2) to provide the user with predicted texture quality and completeness measures before running time-consuming texture mapping algorithms; 3) to improve the communication of geometrical dependencies between model triangles and the available digital images, through the use of static and interactive information visualization methods

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Summary

INTRODUCTION

The advent of communication and visualization technology has created an increased demand for photorealistic 3D models of real-world scenes. It is usual to limit the number of images in the texture mapping process and keep only the most suitable texture candidates (Haala, 2004) This has been realized by manual image selection that can be challenging and time-consuming for large models covering complex topography. The application was ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I-2, 2012 XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia developed with three main aims: 1) to provide decision support for the selection of an image subset optimized for 3D model texturing, for non-specialists; 2) to provide the user with predicted texture quality and completeness measures before running time-consuming texture mapping algorithms; 3) to improve the communication of geometrical dependencies between model triangles and the available digital images, through the use of static and interactive information visualization methods

RELATED WORK
AN INTERACTIVE TOOL FOR ANALYSIS AND OPTIMIZATON OF TEXTURE PARAMETERS
Background and datasets
CONCLUSIONS AND FUTURE WORK
Full Text
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