Book Chapter10.1007/978-3-642-24393-6_8
Image sequence processing in stereovision mobile mapping: steps towards robust and accurate monoscopic 3D measurements and image-based georeferencing
Fabian Huber,Stephan Nebiker,Hannes Eugster +2 more
- 05 Oct 2011
- pp 85-95
TL;DR: Investigations with real-world data show, that points can successfully and reliably be matched over extended stereo sequences.
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Abstract: Stereo vision based mobile mapping systems enable the efficient capturing of directly georeferenced stereo pairs. With today's camera and storage technologies imagery can be captured at high data rates resulting in dense stereo sequences. The overlap within stereo pairs and stereo sequences can be exploited to improve the accuracy and reliability of point measurements. This paper aims at robust and accurate monoscopic 3d measurements in future vision-based mobile mapping services. Key element is an adapted Least Squares Matching approach yielding point matching accuracies at the subpixel level. Initial positions for the matching process along the stereo sequence, are obtained by projecting the matched point position within the reference stereo pair to object space and by reprojecting it to the adjacent pairs. Once homologue image positions have been derived, final 3D point coordinates are estimated. Investigations with real-world data show, that points can successfully and reliably be matched over extended stereo sequences.
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Citations
Cloud-Based Geospatial 3D Image Spaces—A Powerful Urban Model for the Smart City
TL;DR: This paper investigates quality aspects of the urban model, namely the obtainable georeferencing accuracy and the quality of the depth map extraction, and presents a scalable cloud-based framework for generating 3D image spaces of entire cities or states and a client architecture for their web-based exploitation.
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Stereovision mobile mapping: system design and performance evaluation
TL;DR: Investigations in obtaining complete and accurate depth maps for a robust and accurate 3d monoplotting support in vision-based mobile mapping web services and first results obtained by interpolating incomplete areas in the disparity maps and by fusing the disparity Maps with additional LiDAR data are presented.
Integrated georeferencing of stereo image sequences captured with a stereovision mobile mapping system – approaches and practical results
TL;DR: In this paper, the authors present a cost efficient workflows which allows validating and updating the INS/GNSS based trajectory with independently estimated positions in cases of prolonged GNSS signal outages in order to increase the georeferencing accuracy up to project requirements.
Fusion of airborne and terrestrial image-based 3d modelling for road infrastructure management - vision and first experiments
TL;DR: In this paper, a seamless image-based 3D modeling approach fusing airborne and mobile terrestrial imagery is proposed, which relies on dense stereo matching for extracting 3D point clouds which combine with the original airborne and terrestrial stereo imagery to create a rich 3D geoinformation and 3D measuring space.
Automated 3d road sign mapping with stereovision-based mobile mapping exploiting disparity information from dense stereo matching
S. Cavegn,Stephan Nebiker +1 more
TL;DR: Algorithms and investigations on the automated detection, classification and mapping of road signs which systematically exploit depth information from stereo images are presented, enabling the generation of accurate and dense depth maps.
8
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Heiko Hirschmüller
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