View Algorithm

Accuracy 0.5: 96.09
Global Accuracy: 86.06
Valid images (%): 99.43
Authors: Fabian Timm and Erhardt Barth
Filiation: University of Lübeck
Link to group/authors: https://www.inb.uni-luebeck.de/index.php?id=222
Algorithm name: AccGrad
Reference if published: Fabian Timm, Erhardt Barth: Accurate Eye Centre Localisation by Means of Gradients. VISAPP 2011: 125-130
Development platform: Not Specified
Execution time (indicating execution platform):Not Specified
Memory requisites: Not Specified
Training requisites: Not Specified
Link to source: Not Specified
Abstract (5000 chars): The estimation of the eye centres is used in several computer vision applications such as face recognition or eye tracking. Especially for the latter, systems that are remote and rely on available light have become very popular and several methods for accurate eye centre localisation have been proposed. Nevertheless, these methods often fail to accurately estimate the eye centres in difficult scenarios, e.g. low resolution, low contrast, or occlusions. We therefore propose an approach for accurate and robust eye centre localisation by using image gradients. We derive a simple objective function, which only consists of dot products. The maximum of this function corresponds to the location where most gradient vectors intersect and thus to the eye’s centre. Although simple, our method is invariant to changes in scale, pose, contrast and variations in illumination. We extensively evaluate our method on the very challenging BioID database for eye centre and iris localisation. Moreover, we compare our method with a wide range of state of the art methods and demonstrate that our method yields a significant improvement regarding both accuracy and robustness.