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Depth Imaging by Combining Time-of-Flight and On-Demand Stereo
[chapter]
2009
Lecture Notes in Computer Science
In this paper we present a framework for computing depth images at interactive rates. Our approach is based on combining time-of-flight (TOF) range data with stereo vision. We use a per-frame confidence map extracted from the TOF sensor data in two ways for improving the disparity estimation in the stereo part: first, together with the TOF range data for initializing and constraining the disparity range; and, second, together with the color image information for segmenting the data into depth
doi:10.1007/978-3-642-03778-8_6
fatcat:w6bd2gzxmbbwpjn2n7eghawt6e