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Longbow*: la arquería virtual pone a prueba el control por gestos

Jason Allen, creator of the archery-based game Longbow*, saw Intel® RealSense™ technology as a perfect opportunity to use hand and gesture tracking for the action of aiming and firing arrows. This article describes how he made it work.
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  • Game Development
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  • Intel® RealSense™ Technology
  • Intel RealSense 3D Camera
  • IntelRealSense SDK
  • gesture
  • Hand tracking
  • unity
  • ux
  • User Experience and Design
  • Intel® RealSense™ Labs from IDF 2015

    There are 6 labs including Microsoft* Visual Studio* 2013 solutions that cover the Intel RealSense F200 camera for 3D segmentation, various hand usages, face tracking and raw streams. There are also 3 labs for the Intel RealSense R200 camera covering enhanced photography, Scene Perception/AR, and raw streams. A Lab Guide with step by step instructions is also provided.
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  • Microsoft Windows* 8.x
  • Intel® RealSense™ Technology
  • Windows*
  • Beginner
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  • Intel® RealSense™ SDK
  • Intel® RealSense™ Technology
  • Green Screen
  • Background removal
  • BGS
  • Photography
  • raw streams
  • depth
  • IR
  • setmentation
  • hands
  • Face
  • gestures
  • Augmented
  • ar
  • Scene Perception
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    What Resources Are Available to Developers Using Intel® INDE?

    New to Intel® Integrated Native Develop Experience (also called Intel® INDE)? Are you confused as to what is available and how it can help you? INDE is a cross-platform productivity suite, which provides developers many resources and tools to develop, debug and optimize their applications, while achieving native performance and look-and-feel. In this article, we will introduce the components of INDE and show how developers can use them to create new applications and optimize existing applications. To start with Intel® INDE provides support for IDE integration.

    Fast Gathering-based SpMxV for Linear Feature Extraction

    This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common. Therefore, this invention can be applied to those mathematical libraries dedicated to these kinds of recognition engines.
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  • Code for Good
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  • Intel® Advanced Vector Extensions
  • Intel® Streaming SIMD Extensions
  • Sparse Matrix-Vector multiplication
  • sparse matrix
  • Feature Extraction
  • speech recognition
  • Intel® Core™ Processors
  • Optimization
  • Parallel Computing
  • Vectorization
  • What’s new in Visual Studio 2015? – Part I: IDE and C#

    Every time that there is a new version of Visual Studio I’m very keen to learn and implement the most relevant features. The problem is that the documentation that I’ve found is too low level (i.e.: lots of details) or too light. So I decided to create a series of posts exploring  all that is new regarding VS, C# and ASP.Net while maintaining the balance between don’t say a thing and don’t say too much.

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