![]() ![]() Now, the dreams of what you could do with Kinect could become the latest wave of entrepreneurial innovation with startups that are building businesses around Kinect. Microsoft released the Kinect for Windows in February 2012 providing a commercial license to allow companies to build Kinect based solutions and distribute them with a Kinect. From the Kinect Accelerator page I linked before: Where's the distribution? Do you see it on the shelves at Best Buy? Or do you only see it for the Xbox? The marketing materials I actually see are quite the opposite. Why is it obvious that because Kinect for Windows exists, its intent is to be a mass market consumer device? Where is the marketing to consumers exactly? There's certainly no shortage for it on the Xbox, but I don't see any for consumer PC uses. I'm not sure why you think this is the case. They have plenty of money to burn so it doesn't really matter if it's successful or not, but it seems like it could be much more than it has been for everyone, beyond the relatively few specific use cases and hacks that folks have found for it. I love the promise and potential of the device and the crazy applications people find for it, but I'm still waiting for the noteworthy thing that actually gets a regular person like you and me, our friends or family to buy and use one. Most of the R&D was taken care of on the Xbox side so no big loss, but If they had something significant of their own they could use to help sell it to the masses on PC, they would, yeah? Of course they would. Right now it feels like they are throwing it out there and hoping someone else turns it into a money maker for them, and it's just not happening. This paper is expected to serve as a tutorial and source of references for Kinect-based computer vision researchers.Well they obviously want people to buy it, or they wouldn't spend the time and resources to create, manufacture, market, distribute, sell, and support a gadget like the Kinect for Windows. Finally, we give an overview of the challenges in this field and future research trends. For each category of methods, we outline their main algorithmic contributions and summarize their advantages/differences compared to their RGB counterparts. The covered topics include preprocessing, object tracking and recognition, human activity analysis, hand gesture analysis, and indoor 3-D mapping. The reviewed approaches are classified according to the type of vision problems that can be addressed or enhanced by means of the Kinect sensor. This paper presents a comprehensive review of recent Kinect-based computer vision algorithms and applications. ![]() The complementary nature of the depth and visual information provided by the Kinect sensor opens up new opportunities to solve fundamental problems in computer vision. ![]() With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. ![]()
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