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.

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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.

Download Paper About Indoor Scene Segmentation Using a Structured Light Sensor pdf
File size: 4.006 MB, number of pages: 13, download server: cs.nyu.edu
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