Fusion of Stereo Vision and Time-of-Flight Imaging for Improved 3D Estimation



AbstractIn this paper the fusion of two 3D estimation techniques is suggested: Stereo vision and Time-of-Flight (TOF) imaging. By converting the TOF-depth measurements to stereo disparities the correspondence between images from a fast TOF-camera and standard high resolution camera pair are found so the TOF depth measurements can be linked to the image pairs. Also in the same framework a method is developed to initialize and constrain a hierarchical stereo matching algorithm. It is shown that in this way higher spatial resolution is obtained than by only using the TOF camera and higher quality dense stereo disparity maps are the results of this sensor fusion.
TypeConference paper [With referee]
ConferenceInternational workshop in Conjuction with DAGM'07: Dynamic 3D Imaging.
Year2007    Month September    Vol. 1    No. 1    pp. 164-172
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics