Yahoo: Tessera one more time announced its FotoNation FaceRecognition. Tessera acquired Fotonation at the beginning of 2008 for $29M (plus another $10M if some goals are met). By that time Fotonation already had face recognition product for sale.
I guess this announcement relates to an improvement version of it, although it's not clearly stated. The technology appears to be software based and available for a number of platforms, including COACH and ARM. No recognition speed or number of simultaneously recognized faces is mentioned, both being very important merits of the algorithm.
Hello,
ReplyDeleteI couldn't find any way for contact so I'll use the comments section.
It's not related to Tessera face recognition. Can You comment on this article http://www.dpnet.com.cn/News/2/12014/1.shtml
Rebelling against BSI, Fujifilm Succeeds in Color Imaging Using Organic CMOS Sensor it's originaly posted in the august issue of Nikkei Electronics
Hello,
ReplyDeleteIs it possible to get a complete english version of the article cited above? Google translate is quite limited with japanese. Sorry this post is not related to Tessera article too.
No I don't think there is such thing.
ReplyDeleteSorry that I didn't mention, the link is in chineese. It's barely translatable with babelfish.yahoo.
Admin, sorry about the generated offtopic.
To Anoymous,
ReplyDeleteYour source has 2 parts:
1) from 2006 report
http://techon.nikkeibp.co.jp/article/HONSHI/20061115/123642/
2) from 2009/9/21
http://big5.nikkeibp.com.cn/news/elec/48016-20090921.html
this article points out that Fujifilm has successfully developed the organic film to replace the silicon phtodiodes and got the color image.
it also mentioned that CMOS sensor(FSI) has 3 defects:
1) the transparency of the color filer
2) stack height
3) low QE
BSI can solve the item 2)
Fujifilm claims that the organic film can solve both 3 items, but in this research, it only solve th item2) & 3)
Fujifilm plans to solve the item 1) by stacking different films which has specific absorbtion spectrum. (like Foven...)