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• W2014900996 abstract "Computer vision methods are proposed for feature extraction of structures of interest in schlieren images. The well studied curvature scale space is used to define features at physically salient points on shock contours. These points can include shock interactions, reflections, standoff distance, etc., and are present in many schlieren data. A challenge in developing methods for feature extraction in schlieren images is the reconciliation of existing techniques with structures of interest to an aerodynamicist. Domain-specific knowledge of physics must be incorporated into the definition and detection phases. Algorithms must be designed such that incorporation of an aerodynamic knowledge base is viable and known location and physically possible structure representations form a knowledge base that provides a unique feature definition and extraction. Model tip location and a shock intersection across several thousand frames in the complex double-cone schlieren sequence are identified, localized, and tracked...." @default.
• W2014900996 created "2016-06-24" @default.
• W2014900996 creator A5009101133 @default.
• W2014900996 creator A5074317953 @default.
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• W2014900996 date "2014-06-01" @default.
• W2014900996 modified "2023-09-27" @default.
• W2014900996 title "Detection, Localization, and Tracking of Shock Contour Salient Points in Schlieren Sequences" @default.
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• W2014900996 doi "https://doi.org/10.2514/1.j052367" @default.
• W2014900996 hasPublicationYear "2014" @default.
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