Using image segmentation for evaluating 3D statistical shape models built with groupwise correspondence optimization ?
We propose an application-driven approach for evaluating 3D correspondence. Image segmentation is simulated using SSMs built from different correspondences. We compare correspondences of different optimization strategies and cost functions. Comparison with correspondence evaluation reveals limitations of that approach. Using various distance measures and data set we derive practical recommendations.
image segmentation evaluation statistical shape models correspondence optimization