![]() The IR patterns emitted by IR projectors are exploited here to enhance the dense stereo matching even if the observed objects or surfaces are texture-less or transparent. The idea is to utilize the IR images of each two sensors as a stereo pair to generate a depth map. We propose a stereo RGB-D camera system which uses the pros of RGB-D cameras and combine them with the pros of stereo camera systems. In this paper, we present a simple and powerful method to overcome these problems. This results in a massive loss of depth information. If more than one RGB-D camera is used the IR patterns interfere with each other. The distance they can measure is limited and they suffer from reflection problems on transparent, shiny, or very matte and absorbing objects. While these sensors are great devices they have some limitations. A depth image is computed by calculating the distortion of a known infrared light (IR) pattern which is projected into the scene. RGB-D sensors such as the Microsoft Kinect or the Asus Xtion are inexpensive 3D sensors.
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