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Segmentation and Analysis of RGB-D data Camillo J. Taylor Anthony Cowley

Segmentation and Analysis of RGB-D data Camillo J. Taylor Anthony Cowley. Segmentation and Analysis of RGBD data. Ultimate Goal: To produce a semantic description of indoor scenes from RGB-D data Intermediate Goal: To efficiently extract salient planar segments from the RGB-D imagery

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Segmentation and Analysis of RGB-D data Camillo J. Taylor Anthony Cowley

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  1. Segmentation and Analysis of RGB-D data Camillo J. Taylor Anthony Cowley

  2. Segmentation and Analysis of RGBD data • Ultimate Goal: • To produce a semantic description of indoor scenes from RGB-D data • Intermediate Goal: • To efficiently extract salient planar segments from the RGB-D imagery • Approach: • Use segmentations of the RGB image to suggest interpretations of the depth values • Contributions: • Developed an efficient scheme for producing edge-accurate segmentations of the RGB imagery (inspired by gPb and UCM). • Demonstrated that the image segmentation focuses the attention of the plane fitting procedure on fruitful interpretations. Image Segments Extracted Planar Segments Rectilinear Structure

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