Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007 · 16 citations · 4 references
Scene AnalysisMultiple SpritesEngineeringImage AnalysisPattern RecognitionPhysical Camera ParametersComputational ImagingComputational PhotographyComputational GeometryPerspective MappingGeometric ModelingImage FormationMachine VisionImage StitchingStructure From MotionComputer VisionNatural SciencesScene UnderstandingMulti-view Geometry
We present a robust and computational low complex method to estimate the physical camera parameters, intrinsic and extrinsic, for scene shots captured by cameras applying pan, tilt, rotation, and zoom. These parameters are then used to split a sequence of frames into several subsequences in an optimal way to generate multiple sprites. Hereby, optimal means a minimal usage of memory while keeping or even improving the reconstruction quality of the scene background. Since wide angles between two frames of a scene shot cause geometrical distortions using a perspective mapping it is necessary to part the shot into several subsequences. In our approach it is not mandatory that all frames of a subsequence are adjacent frames in the original scene. Furthermore the angle-based classification allows frame reordering and makes our approach very powerful.
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Creating full view panoramic image mosaics and environment maps
Richard Szeliski, Heung‐Yeung Shum · 1997 · 862 citations · Full text