In forensic comparison of facial video data, often only the best quality frontal face frames are selected, and hence much video data is ignored. To improve 2D facial comparison for law enforcement and forensic investigation, we introduce a model-free 3D shape reconstruction algorithm based on 2D landmarks. The algorithm uses around 20 landmarks on the face and combines the structure information of multiple frames. Model based 3D reconstruction methods, such as Morphable Models, reconstruct a 3D face shape model that is strongly biased towards the average face. Therefore, we don't use statistical face shape models in our model-free approach. The 3D landmark reconstruction algorithm simultaneously estimates the shape, pose and position of the face, based only on the fact that all images in the sequence are recorded using a single calibrated camera. The algorithm iteratively updates the reconstruction by including new frames, while maintaining the consistency of the reconstruction. We demonstrate the convergence properties of the method reflected in the 2D reprojection error and the 3D error with respect to a ground truth model. We show that the quality of the reconstruction depends on the noise on the landmarks. In a second experiment we show that the method can be used on realistic face shape data with a styrofoam head model.
|Title of host publication||Proceedings of the 34rd Symposium on Information Theory in the Benelux and the 3rd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux|
|Place of Publication||Enschede|
|Publisher||University of Twente|
|Number of pages||8|
|Publication status||Published - May 2013|
|Event||34th WIC Symposium on Information Theory in the Benelux 2013 - Leuven, Belgium|
Duration: 30 May 2013 → 31 May 2013
Conference number: 34
|Conference||34th WIC Symposium on Information Theory in the Benelux 2013|
|Period||30/05/13 → 31/05/13|
- 3D face shape reconstruction
van Dam, C., Veldhuis, R., & Spreeuwers, L. (2013). Model-free 3D face shape reconstruction from video sequences. In Proceedings of the 34rd Symposium on Information Theory in the Benelux and the 3rd Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux (pp. 228-235). Enschede: University of Twente.