Paper About Indoor Scene Segmentation Using a Structured Light Sensor
This paper contains info like accuracy, multi class segmentation, and range. Inside this paper you can find things related to segmentation, and intensity.
There are lots of explanation such as methods, and classiﬁcation are described inside the paper. Here are some excerpt from the paper:
In this paper we explore how a structured light depth sensor, in the form of the Microsoft Kinect, can assist with indoor scene segmentation. We use a CRF-based model to evaluate a range of different representations for depth information and propose a novel prior on 3D location. We introduce a new and challenging indoor scene dataset, complete with accurate depth maps and dense label coverage. Evaluating our model on this dataset reveals that the combination of depth and intensity images gives dramatic performance gains over intensity images alone.
Also, the paper explains more regarding performance, and detection.
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