IEEE Transactions on Pattern Analysis and Machine Intelligence · 1992 · 230 citations · 11 references
ComputingAutonomous SystemsComputer VisionRobot PerceptionRobot VisionLocalization UncertaintyMulti-view GeometryRobot LocalizationScene ReconstructionSpatial LocalizationStereo VisionMulti-view StereoStereo Correspondence
Omnidirectional views of an indoor environment at different locations are integrated into a global map. A single camera swiveling about the vertical axis takes consecutive images and arranges them into a panoramic representation, which provides rich information around the observation point: a precise omnidirectional view of the environment and coarse ranges to objects in it. Using the coarse map, the system autonomously plans consecutive observations at the intersections of lines connecting object points, where the directions of the imaging are estimated easily and precisely. From two panoramic views at the two planned locations, a modified binocular stereo method yields a more precise, but with direction-dependent uncertainties, local map. New observation points are selected to decrease the uncertainty, and another local map is yielded, which is then integrated into a more reliable global representation of the world with the adjacent local maps.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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John Aloimonos, Amit Bandyopadhyay · International Journal of Computer Vision · 1988 · 832 citations
Panorama scene analysis with conic projection
Yasushi Yagi, Shinjiro Kawato · 2002 · 143 citations