Equality and Diversity in the Dutch Welfare State

Under the Constitution, the equality principle is very important in the Netherlands. This article argues that there is little evidence for equal citizenship in the Netherlands. There is anti-discrimination legislation in the Netherlands, but it is not very robust. The core argument in this article is that the equality principle must be supplemented by the diversity principle. Diversity is multi-dimensional and can refer to religion, philosophy of life, political persuasion, race (ethnicity), gender, nationality, sexual orientation, age, disability and chronic illness. In this paper multi-culturalism and disability are taken into account and we make a comparison of the social position of disabled people and people from ethnic minorities. Policies on diversity are needed to arrive at diverse citizenship in a varied society. This implies that a distinction has to be made between political citizenship and cultural citizenship. The former has to do with equality, and the latter with diversity.

Registration of Sub-Sequence and Multi-Camera Reconstructions for Camera Motion Estimation

This paper presents different application scenarios for which the registration of sub-sequence reconstructions or multi-camera reconstructions is essential for successful camera motion estimation and 3D reconstruction from video. The registration is achieved by merging unconnected feature point tracks between the reconstructions. One application is drift removal for sequential camera motion estimation of long sequences. The state-of-the-art in drift removal is to apply a RANSAC approach to find unconnected feature point tracks. In this paper an alternative spectral algorithm for pairwise matching of unconnected feature point tracks is used. It is then shown that the algorithms can be combined and applied to novel scenarios where independent camera motion estimations must be registered into a common global coordinate system. In the first scenario multiple moving cameras, which capture the same scene simultaneously, are registered. A second new scenario occurs in situations where the tracking of feature points during sequential camera motion estimation fails completely, e.g., due to large occluding objects in the foreground, and the unconnected tracks of the independent reconstructions must be merged. In the third scenario image sequences of the same scene, which are captured under different illuminations, are registered. Several experiments with challenging real video sequences demonstrate that the presented techniques work in practice.