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Abstract: In this paper we address the problem of recovering 3-D scene structure from omni-directional cylindrical panoramic images obtained from camera viewpoints whose relative poses are known. Range can be estimated using a stereo vision technique from two images. However, range cannot be estimated reliably in the heading direction relating two viewpoints. Moreover, range estimates obtained from a single pair of images tend to be noisy. To overcome these problems we have developed a method which uses... (Update)
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BibTeX entry: (Update)
@misc{ bunschoten-scene,
author = "Roland Bunschoten and Ben Kröse",
title = "3-D Scene Reconstruction from Cylindrical Panoramic Images",
url = "citeseer.ist.psu.edu/693863.html" }
Citations (may not include all citations):333 Good features to track - Shi, Tomasi - 1994
85 The development and comparison of robust methods for estimat.. - Torr, Murray - 1997
57 Plenoptic modeling: An image-based rendering system (context) - McMillan, Bishop - 1995
40 Monte carlo localization: E#cient position estimation for mo.. (context) - Fox, Burgard et al. - 1999
27 Position estimation using principal components of range data - Crowley, Wallner - 1998
16 Motion estimation using central panoramic cameras - Svoboda, Pajdla et al. - 1998
11 A probabilistic model for appearance-based robot localizatio.. (context) - Krose, Vlassis et al. - 2000
7 Virtual navigation of complex scenes using clusters of cylin.. - Kang, Desikan - 1997
5 Range estimation from a pair of omnidirectional images - Bunschoten, Krose - 2000
4 The CONDENSATION algorithm --- conditional density propagati.. - Blake, Isard - 1997
2 cient representation of the robot's environment (context) - Krose - 2000
2 Calibration procedure for short focal length o#-the-shelf CC.. (context) - Heikkila, Silven - 1996
2 Environment Modelling for Mobile Robots: Neural Learning for.. - Van Dam - 1998
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