Seniors in Society. Strategies to Retain Individual Autonomy

The research project on "Seniors in Society. Strategies to Retain Individual Autonomy" (2002 - 2004) is supported by the Grant Agency of the Czech Republic. It's importance is empha-sized by the relevance of social and economic aspects of demographic ageing of the popula-tion and that of fundamental changes associated with the transformation of Czech society. The objectives of the research are (1) to find out seniors' material and social resources sup-porting their relative autonomy in everyday life, (2) to record their personal expectations from state, community, or formal and informal support and aid institutions, respectively, and (3) to uncover their engagement in social interaction and individual experiencing of the integration into social groups. The data acquired become the base for (4) identifying the typologies corre-sponding to the levels of seniors' social integration (i.e. groups of relatives, friends, neighbours, special-interest and professional groups). By applying qualitative methods, we explore (5) strategies of everyday life and coping with life cycle events and crisis within par-ticular types. Special attention is paid to the family background of the seniors, including rela-tives in the vertical line. Specifically, we focus on (6) conditions under which family is capa-ble and willing to help or actually is helping it's oldest members, as well as on their interpre-tation within (7) identified types of the relatives supportive systems.

Algorithms For Automatic And Robust Registration Of 3D Head Scans

wo methods for registering laser-scans of human heads and transforming them to a new semantically consistent topology defined by a user-provided template mesh are described. Both algorithms are stated within the Iterative Closest Point framework. The first method is based on finding landmark correspondences by iteratively registering the vicinity of a landmark with a re-weighted error function. Thin-plate spline interpolation is then used to deform the template mesh and finally the scan is resampled in the topology of the deformed template. The second algorithm employs a morphable shape model, which can be computed from a database of laser-scans using the first algorithm. It directly optimizes pose and shape of the morphable model. The use of the algorithm with PCA mixture models, where the shape is split up into regions each described by an individual subspace, is addressed. Mixture models require either blending or regularization strategies, both of which are described in detail. For both algorithms, strategies for filling in missing geometry for incomplete laser-scans are described. While an interpolation-based approach can be used to fill in small or smooth regions, the model-driven algorithm is capable of fitting a plausible complete head mesh to arbitrarily small geometry, which is known as "shape completion". The importance of regularization in the case of extreme shape completion is shown.