Abstract
A new method of selecting landmarks on 2D shapes which are represented by Centripetal Catmull-Rom spline is proposed in this paper. Firstly, a mean shape is generated from training set and landmarks on mean shape are extracted based on curvature and arc-length information. Then the corresponding landmarks on each shape can be obtained by projecting the mean shape back to each sample using non-rigid registration method Coherent Point Drift. Experiments showed that landmarks auto-generated are more accurate than landmarks manual annotated when used in segmentation.
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Ji, X., Wang, L., Tao, P., Fu, Z. (2016). Landmark Selecting on 2D Shapes for Constructing Point Distribution Model. In: Tan, T., Li, X., Chen, X., Zhou, J., Yang, J., Cheng, H. (eds) Pattern Recognition. CCPR 2016. Communications in Computer and Information Science, vol 662. Springer, Singapore. https://doi.org/10.1007/978-981-10-3002-4_27
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DOI: https://doi.org/10.1007/978-981-10-3002-4_27
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