Daniel Bardsley

A curious mix of personal shenanigans and computer vision research

Banana Screen

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Banana Screen ScreenshotBanana Screen is an interesting little application that allows you to lock and unlock your computer using face recognition. The application is simple to setup and use and makes unlocking your computer faster than having to type a password each time you sit down.

The program is currently in beta so expect improvements in the coming months. At the moment the balance between ease of use and accuracy is not quite right. The application allows you to register a number of different face models which allow recognition under a variety of lighting conditions and face poses, however, I’ve found that if you over train the model the systems tends to produce far too many false positives. If the model is under-trained then lighting conditions at different times of the day tend to produce too many false negatives. Furthermore the lack of control over which input images are used as a part of the recognition model means that in order to correct the under-training or over-training issues the whole face model must be deleted and training started from scratch. The forums suggest that people at Banana Screen are working on these problems though so whilst at the moment it is not secure enough to replace traditional password entry in environments where security is of particular importance it is an interesting toy for the home PC user. Hopefully the transition for toy to security application will come as the program matures.
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Ron Fedkiw: Computer Graphics Simulations

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Computer graphics fire demoThis is more computer graphics than vision but the videos on Ron Fedkiw’s home page are simply amazing.

Fedkiw received his Ph.D. in Mathematics from UCLA in 1996 and did postdoctoral studies both at UCLA in Mathematics and at Caltech in Aeronautics before joining the Stanford Computer Science Department. He was awarded the National Academy of Science Award for Initiatives in Research, a Packard Foundation Fellowship, a Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, the ACM Siggraph Significant New Researcher Award, an Office of Naval Research Young Investigator Program Award (ONR YIP), a Robert N. Noyce Family Faculty Scholarship, two distinguished teaching awards, etc. Currently he is on the editorial board of the Journal of Computational Physics, Journal of Scientific Computing, SIAM Journal on Imaging Sciences, and Communications in Mathematical Sciences, and he participates in the reviewing process of a number of journals and funding agencies. He has published over 80 research papers in computational physics, computer graphics and vision, as well as a book on level set methods.
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