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Boundary extraction using statistical shape descriptor

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2 Author(s)
Hae Chul Choi ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea ; Seong Dae Kim

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.

Published in:

Electronics Letters  (Volume:38 ,  Issue: 22 )