Pictures Of Elderly People

Thomas Wolsing New Artstamp.dk-Guest

Thomas Wolsing graduated from the Jutland Art Academy and The Royal Danish Academy of Fine Arts in Copenhagen 1999. He lives in a remote part of North Jutland in Denmark and has moved to this area after living in Copenhagen for many years. His work includes installation, textiles and photography.

This artstamp depicts a large needlepoint or cross stitch picture of an old mill placed in a small village near the Northwestern coast of Jutland, in which the artist lives. The mill accidentally burned down and a needlepoint pattern was designed by the artist. Hereafter a woman from the area stitched a large picture before the traces of burnt pieces of wood was removed. Hereby Wolsing raises this burnt down mill to a kind of "Monument".

This cross stitch picture is a part of a larger project named MONUMENTS ON THE MARGIN shown at Skive Art Museum.


Rasmus Vestergaard, Art historian, writes about the project:

Based on digital photographs of old, dilapidated houses in North Jutland, the Danish artist Thomas Wolsing has created a series of embroidered pictorial works. Digital photos are computer manipulated and transformed into pattern paper and then declared to be hand-made old-fashioned needlepoint or cross stitch pictures.

Today, the cross stitch pictures only recycled lined entries and at home in elderly people - but we all know cross stitch pictures traditional rural idyll. Motifs depicting the pond, half-timbered house, old grandfather, the hens who roam freely between the houses. These silent, stylized and kitschy images documenting a bygone era of embroideries had a specific function as craft for women and media for rural people's self-understanding.

By turning the world upside down the motif revives Thomas Wolsing in MONUMENTS ON THE MARGIN embroidery as an artistic medium. The embroidered pictures depicting dilapidated houses.The houses which no one will own or have. The dilapidated monuments as time image resembling a Denmark in transition, on a growing polarization between city and country.

MONUMENTS ON THE MARGIN challenge our understanding of the cultural landscape - how we inhabit it, what is our mental image of "country" and how to take the "country" is actually out today. The specific subjects are all from North Jutland, where Wolsing live.

Computer Science for Fun - cs4fn: The digital age

Whether you’re young or old (or somewhere in between), computer science can tell you something about faces. Take a look at these stories on faces and age.

A glimpse of the future

Predicting what a person will look like when they’re older is tricky. At the moment it often depends on the imagination of a single person, whether it’s a sketch artist helping to solve a missing person case, or a makeup artist trying to make someone look older. A PhD computer science student in Canada has designed a program to automatically age people’s appearances, by applying rules for how faces change as we get older.

The student, Khoa Luu, actually needed to come up with two sets of rules. In the beginning of our life, when we’re still growing and developing, our faces change their actual structure: they get longer and wider. But once we’ve finished growing, for the rest of our life the changes are all in the soft tissues around the face. Wrinkles appear, and the facial muscles aren’t quite so toned.

Having a set of general rules for how everybody ages is a good start. But a prediction will be more accurate if you can use images from your subject’s family too. It’s a more sophisticated take on the old rule of thumb that says you can tell what someone will look like when they’re older by looking at their parents. So Khoa put together a database of photographs of family members, all from different stages of their lives. It doesn’t even have to take information from your parents. For example, by comparing how your siblings looked years ago with how they look now, the computer program can get clues about how you will look as you get older.

In the future Khoa’s system could help police when searching for a missing person or a fugitive, or it could even help cosmetics companies design anti- ageing products. Computer science is all about the future, but who knew it could predict your future face too?

You'll never forget a face

When you’re young you might wonder what there could possibly be to look forward to at age 30. Boredom and decrepitude? We’ll be honest: maybe. But you can at least count on being at the peak of your ability to recognise faces. Researchers at Harvard and Dartmouth colleges in the USA have found that while most of our mental abilities peak in our early twenties, the ability to recognise and remember faces takes another decade to mature.

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