Evaluation of 3D Correspondence Methods for Model Building

By Martin Andreas Styner, K. Rajamani, Lutz-Peter Nolte, G. Zsemlye, G. Székely, Christopher J. Taylor, R. Davies. Information Processing in Medical Imaging, 2003

340 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/c5691f36181185d3ca80d16047145eff97095a0f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Augusto Salazar
2. Timo Bolkart
3. Stefanie Wuhrer

In Computer Vision and Pattern Recognition

1. Timo Bolkart
2. Augusto Salazar
3. Alan Brunton
4. Stefanie Wuhrer
5. Michael J. Black
6. Stefanos P. Zafeiriou
7. James Booth
8. Anastasios Roussos

Citations in the corpus

• Review of statistical shape spaces for 3D data with comparative analysis for human faces (2012, background): “The rank of the data covariance matrix is at most min(3 n − 1 , T − 1) and therefore the number of distinct non-zero eigenvalues and hence, the number or principal components, is at most min(3 n − 1 , T − 1) .”