TY - GEN
T1 - Proxy clouds for RGB-D stream processing
T2 - ACM SIGGRAPH 2017 Talks - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2017
AU - Kaiser, Adrien
AU - Zepeda, Jose Alonso Ybanez
AU - Boubekeur, Tamy
N1 - Publisher Copyright:
© Copyright 2017 Authors.
PY - 2017/7/30
Y1 - 2017/7/30
N2 - Modern RGB-D sensors are widely used for indoor 3D capture, with applications ranging from modeling to robotics, through gaming. Nevertheless, their use is limited by their low resolution, with frames often corrupted with noise, missing data and temporal inconsistencies. In order to cope with all these issues, we present Proxy Clouds, a multiplanar superstructure for unified real-time processing of RGB-D data. By generating and updating through time a single set of rich statistics parameterized over planar proxies from raw RGB-D data, several processing primitives can be applied to improve the quality of the RGB-D stream on-the-fly or lighten further operations. We illustrate the use of Proxy Clouds on several applications, including noise and temporal flickering removal, hole filling, resampling, color processing and compression. We present experiments performed with our framework in indoor scenes of different natures captured with a consumer depth sensor.
AB - Modern RGB-D sensors are widely used for indoor 3D capture, with applications ranging from modeling to robotics, through gaming. Nevertheless, their use is limited by their low resolution, with frames often corrupted with noise, missing data and temporal inconsistencies. In order to cope with all these issues, we present Proxy Clouds, a multiplanar superstructure for unified real-time processing of RGB-D data. By generating and updating through time a single set of rich statistics parameterized over planar proxies from raw RGB-D data, several processing primitives can be applied to improve the quality of the RGB-D stream on-the-fly or lighten further operations. We illustrate the use of Proxy Clouds on several applications, including noise and temporal flickering removal, hole filling, resampling, color processing and compression. We present experiments performed with our framework in indoor scenes of different natures captured with a consumer depth sensor.
KW - Depth improvement
KW - Plane detection
KW - RGB-D stream
KW - Scene analysis
U2 - 10.1145/3084363.3085031
DO - 10.1145/3084363.3085031
M3 - Conference contribution
AN - SCOPUS:85033411316
T3 - ACM SIGGRAPH 2017 Talks, SIGGRAPH 2017
BT - ACM SIGGRAPH 2017 Talks, SIGGRAPH 2017
PB - Association for Computing Machinery, Inc
Y2 - 30 July 2017 through 3 August 2017
ER -