Hi
I recently did a small project combining a Java web service with a OpenCV processing. I tried to transfer the picture from Java environment (as BufferedImage) to OpenCV (IplImage) as seamlessly as possible. This proved a but tricky, especially the Java part where you need to create your own buffer for the image, but it worked out nicely.
Let me show you how I did it
Category: work
Hi
Just wanted to report on a breakthrough in my iPhone-CV digging. I found a true realtime frame grabber for the iPhone preview frame (15fps of ~400×300 video), and successfully integrated this video feed with a pure C++ implementation of the MeanShift tracking algorithm. The whole setup runs at realtime, under a few constraints of course, and gives nice results.
Update: Apple officially supports camera video pixel buffers in iOS 4.x using AVFoundation, here’s sample code from Apple developer.
So lets dig in…
There’s nothing like a good visualization to deliver your ideas over a presentation. Concise points and breakdowns can only go a certain distance before they become weary, and finally confuse your audience. It’s better to keep them on their toes by spicing up the boring slides every 5 or so page turns.
I found that Word Clouds, a kind-of new visualization concept, have a good trait of focusing the attention over a single word’s associative space. You bold your main word, center it, and scatter the associative words around it. This creates a powerful effect.
I found a nice tool to create these word coulds on-the-fly: Wordle.
The way I did was, get the Wikipedia value of my word, for example “Friendship“, and go to the Edit tab. Copy all the textarea’s contents, and paste it into Wordle’s word cloud creator. Press “GO” and the results are immediate.
You can eliminate the “outliers” – those unrelated words that appear too many times, and layout the cloud as you like to fit your slide.
The down-side with Wordle is that it has no export ability, so I had to take an Alt-PrintScreen screenshot to get my cloud as a picture.
Enjoy!
Roy.
Hi
Morning traffic jams can really bum you out on some days, and most people try to avoid them. But actually doing it takes a bit of practice and a lot of time, so it took me just 3 years to perfect my morning route to work. I think I am now able to shave off between 5 and 20 minutes of traffic every day, depends on how crowded the roads are that day.
On a “light” day these tips aren’t worth much, but on a crowded day (like today) it can really save time and gas. Also, since this is my route to work, and I live in Israel and work in Ramat Ha’hayal Tel-Aviv, the example images are in Hebrew and they help people who need to get to Habarzel street. But the tips are genuine, and can help anyone optimize thier morning route.
OK, so on to the point.