Publication | Closed Access
Partial shape recognition using dynamic programming
124
Citations
16
References
1988
Year
EngineeringFeature DetectionStatistical Shape AnalysisShape AnalysisComputer-aided DesignImage AnalysisPattern RecognitionImage-based ModelingFeature (Computer Vision)Computational ImagingComputational GeometryGeometric ModelingMachine VisionGeometric Feature ModelingDynamic Programming FormulationUtilize Dynamic ProgrammingPartial ContoursComputer ScienceMedical Image ComputingComputer VisionNatural SciencesShape ModelingPartial Shape Recognition
A partial-shape-recognition technique utilizing local features described by Fourier descriptors is introduced. A dynamic programming formulation for shape matching is developed, and a method for comparison of match quality is discussed. This technique is shown to recognize unknown contours that may be occluded or that may overlap other objects. Precise scale information is not required, and the unknown objects may appear at any orientation with respect to the camera. The segment-matching dynamic programming method is contrasted with other sequence-comparison techniques that utilize dynamic programming. Experimental results are discussed that indicate that partial contours can be recognized with reasonable accuracy.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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