High-Speed and Tunable Scene Reconstruction Method Using Stereo Imagery

A tunable and iterative stereo mapping technique is provided, capable of identifying disparities at or substantially faster than real-time (e.g., frame-rate of 120 Hz). The method includes identifying a plurality of points in an image, determining disparity values for each of the points in the image and generating a piece-wise planar mesh based on the points and their respective disparity values. A disparity interpolation can be performed on candidate planes using estimated plane parameters for the candidate planes and a disparity image can be generated having a plurality of regions based on the disparity interpolation. Multiple iterations can be performed until the image is reconstructed with an appropriate resolution based on predetermined thresholds. The thresholds can be modified to provide a tunable system by changing the threshold values to either increase a resolution of a final reconstructed image and/or increase a computation speed of the tunable and iterative stereo mapping technique.

Researchers

Sudeep Pillai / John Leonard

Departments: Department of Mechanical Engineering
Technology Areas: Computer Science: Networking & Signals / Sensing & Imaging: Optical Sensing
Impact Areas: Connected World

  • high-speed and tunable scene reconstruction systems and methods using stereo imagery
    United States of America | Granted | 10,477,178

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