Kinect for Windows SDK 1.8 Now AvailableSeptember 17, 2013 No Comments
Microsoft announced today that Kinect for Windows SDK 1.8 is now available to download.
Kinect for Windows SDK 1.8 includes some key features and samples that the community has been asking for, including:
- New background removal. An API removes the background behind the active user so that it can be replaced with an artificial background. This green-screening effect was one of the top requests we’re heard in recent months. It is especially useful for advertising, augmented reality gaming, training and simulation, and other immersive experiences that place the user in a different virtual environment.
- Realistic color capture with Kinect Fusion. A new Kinect Fusion API scans the color of the scene along with the depth information so that it can capture the color of the object along with its three-dimensional (3D) model. The API also produces a texture map for the mesh created from the scan. This feature provides a full fidelity 3D model of a scan, including color, which can be used for full color 3D printing or to create accurate 3D assets for games, CAD, and other applications.
- Improved tracking robustness with Kinect Fusion. This algorithm makes it easier to scan a scene. With this update, Kinect Fusion is better able to maintain its lock on the scene as the camera position moves, yielding a more reliable and consistent scanning.
- Multiple-sensor Kinect Fusion sample. This sample shows developers how to use two sensors simultaneously to scan a person or object from both sides—making it possible to construct a 3D model without having to move the sensor or the object! It demonstrates the calibration between two Kinect for Windows sensors, and how to use Kinect Fusion APIs with multiple depth snapshots. It is ideal for retail experiences and other public kiosks that do not include having an attendant available to scan by hand.
- Adaptive UI sample. This sample demonstrates how to build an application that adapts itself depending on the distance between the user and the screen—from gesturing at a distance to touching a touchscreen. The algorithm in this sample uses the physical dimensions and positions of the screen and sensor to determine the best ergonomic position on the screen for touch controls as well as ways the UI can adapt as the user approaches the screen or moves further away from it. As a result, the touch interface and visual display adapt to the user’s position and height, which enables users to interact with large touch screen displays comfortably. The display can also be adapted for more than one user.
You can read more about the update here