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September 11, 2013 05:16 am GMT
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/pgSu79feAPk/
InsideMaps Uses 3D Home Models Captured In Minutes To Build The Future Of Furniture Buying
The InsideMaps team, which is launching its app today on the Disrupt SF 2013 stage, is applying 3D mapping and capture technology to an interesting problem: How do you visualize furniture purchases in your home before you buy them? According to InsideMaps, you do it by using your smartphone to scan the inside of your home, allowing them to create a 3D model in the cloud that you can then place virtual bits of furniture inside to see how it fits. This may not seem like an earth shaker, and let’s be honest it is not. But as the son of an interior designer and fine finishes guy who worked in the trade every summer, I can appreciate it as a deceptively useful tool for some folks. Specifically, says CEO George Bolanos, there are a few segments that InsideMaps is aiming at: end-user customers, interior decorators and real estate agents. Balanos is the founder of Wanadu, a web conferencing company that was acquired by Ciscos Latitude. He went on to a role as Director of Technology at Sony Mobile. InsideMaps co-founder and CTO Jrgen Birkler comes from Sony Ericsson Silicon Valley where he served as Head of Applications & Services Development for the Xperia line. The app launching today is a fairly simple affair. You fire it up, give it a few bits of information about your home and then begin scanning each room. You’re given the option to do a single or to zap the whole house at once and you’re turned loose to shoot what is essentially a series of panoramic shots of a room from the inside, culminating with a spin in the center. Those shots are then uploaded to the InsideMaps cloud for some special sauce application. That consists of utilizing data captured by the gyroscope and magnetometer inside your device (which is why they have to be fairly new smartphones) to craft a model. That model is then checked against a series of visual touchstones in the images. The heights of doorknobs, window sills, etc. While they do this, they’re also gathering data about the average sizes of openings like doors and more, so they can apply machine learning to improve the quality of the models down the road. Currently, the processing takes around 20 minutes for a room or 4 hours for a whole house. InsideMaps is using Amazon Compute Cloud to perform theOriginal Link: http://feedproxy.google.com/~r/Techcrunch/~3/pgSu79feAPk/
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