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Boundary extraction using statistical shape descriptor

Boundary extraction using statistical shape descriptor

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An algorithm is proposed for extracting an object boundary from a low-quality image obtained by infrared sensors. With the training data set, the global shape is modelled by incorporating the statistical curvature model into the point distribution model (PDM). Simulation results show better performance than the PDM in the sense of computation speed and distortion under noise, pose variation and some kinds of occlusions.

References

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      • Y. Wang , L.H. Staib . Boundary finding with prior-shape and smoothness methods. IEEE Trans. Pattern Anal. Mach. Intell. , 7 , 738 - 743
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