%0 Journal Article %1 Bowyer20061 %A Bowyer, Kevin W. %A Chang, Kyong %A Flynn, Patrick %D 2006 %J Computer Vision and Image Understanding %K face_recognition survey %N 1 %P 1 - 15 %R http://dx.doi.org/10.1016/j.cviu.2005.05.005 %T A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition %U http://www.sciencedirect.com/science/article/pii/S1077314205000822 %V 101 %X This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images. Research trends to date are summarized, and challenges confronting the development of more accurate three-dimensional face recognition are identified. These challenges include the need for better sensors, improved recognition algorithms, and more rigorous experimental methodology.

@article{Bowyer20061, abstract = {This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images. Research trends to date are summarized, and challenges confronting the development of more accurate three-dimensional face recognition are identified. These challenges include the need for better sensors, improved recognition algorithms, and more rigorous experimental methodology. }, added-at = {2016-07-29T18:12:43.000+0200}, author = {Bowyer, Kevin W. and Chang, Kyong and Flynn, Patrick}, biburl = {https://www.bibsonomy.org/bibtex/2a35499686cc554e67b18d96d1080afce/alex_ruff}, description = {A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition}, doi = {http://dx.doi.org/10.1016/j.cviu.2005.05.005}, interhash = {7edb242873b4eff17da2090810633fbf}, intrahash = {a35499686cc554e67b18d96d1080afce}, issn = {1077-3142}, journal = {Computer Vision and Image Understanding }, keywords = {face_recognition survey}, number = 1, pages = {1 - 15}, timestamp = {2016-07-29T18:12:43.000+0200}, title = {A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition }, url = {http://www.sciencedirect.com/science/article/pii/S1077314205000822}, volume = 101, year = 2006 }