Microsoft Research has released Information about a 3D Reconstruction App that runs on Windows Mobile. As far as the technology is concerned hardly anything new. It’s basically the same as Autodesks 123D Catch that is available on severall platforms with the actual image processing happening on the server.
The App looks very nice though, it comes with an acceleromteter supported visual guide that helps the user to capture all required images for a successfull 3D model construction.
VidiU streams over dual band MIMO WiFi, Ethernet, or via a single 3G/4G USB modem. For events that require you to be completely wireless, VidiU’s rechargeable Li-Ion battery lets you roam cable-free for up to 60 minutes.
It accepts HDMI video input and streams at resolutions up to 1080p. VidiU encodes video in real-time using H.264 compression and AAC audio at up to 5Mbps. Embedded HD audio, headphone output, and a mic/line input are supported.
Researchers at the University of Washington have developed AllSee the prototype of a hand gesture recognition system based on measuring changes in the ubiquitous electromagnetic field generated by wifi, tv stations, mobile phones etc. This allows for a low power gesture recognition solution that may even operate when integrated in a cell phone that you’ve put in your pocket.
A researcher at MIT’s Center for Future Civic Media has developed software that lets anyone quickly stitch together random displays to form what he calls a Junkyard Jumbotron. Using the Junkyard Jumbotron, groups of people can more easily view data, graphics or other information on what is essentially a larger virtual display.
To create the virtual display, a user goes to the Junkyard Jumbotron creation Website to receive a unique URL. This URL is then entered on all the devices that will be used in the virtual display system. Once the URL is entered, each device will display a visual code.
The next step is to take a photo of all the ensemble of displays exhibiting the codes. The photo must then be e-mailed or uploaded to the creation Website. At this point, software developed by the center analyzes the photo to figure out where all the displays are located.
After this step, any image that the user desires to display is simply e-mailed to the site, and the software automatically slices up that image and places pieces on the individual devices. This forms the larger virtual image. A user can them manipulate the image on any device zooming and panning across devices.
The source code of this project is available on github.
If you look at the new 10″ Samsung Galaxy Note tablet one could almost think that Samsung’s shure it’s gonna loose against Apple in the fight about tablet design features. Samsungs new one definitely doesn’t look like an Apple device anymore. It’s available in Europe starting on the 8th of August and in the US one week later.
It comes with a pen, a micro SD slot, Android 4.0.4 (Ice Cream Sandwich), a back facing 5 Megapixel and a front facing 1.9 Megapixel camera. All powered by a QuadCore processor with 2GB RAM. The 10.1″ touchscreen features 1280×800 pixels.
It’s available with WLAN, HSPA+ (for the 3G-Version), Bluetooth and GPS. A infrared Transmitter, in combination with Samsungs Smart-Remote-App, allows to use it as a universal remote for your Stereo or TV.
QArt Coder is an online tool that allows to embed images into QR Codes.
QR codes are 2-dimensional bar codes that encode arbitrary text strings. A common use of QR codes is to encode URLs so that people can scan a QR code (for example, on an advertising poster, building roof, volleyball bikini, belt buckle, or airplane banner) to load a web site on a cell phone instead of having to “type” in a URL.
QR codes are encoded using Reed-Solomon error-correcting codes, so that a QR scanner does not have to see every pixel correctly in order to decode the content. The error correction makes it possible to introduce a few errors (fewer than the maximum that the algorithm can fix) in order to make an image. QArt Coder exploits that to embed an image into the QR code.
Reflection for Mac allows to mirror an iPad 2 or iPhone 4s screen on a Mac for presentations etc. By default the image gets scaled to 1280x720px but it’s also possible to use the native device resolution. A detailed test of the application you can find here (German).