Acquiring dynamic 3D fluid surfaces is a challenging problem in computer vision. Single or stereo camera based solutions are sensitive to refraction distortions, fast fluid motions, and calibration errors. In this paper, we present a multi-view based solution for robustly capturing fast evolv ing fluid wavefronts. We first construct a portable, 3x3 camera array system as the main acquisition device. We elaborately design the system to allow high-resolution and high-speed capture. To recover fluid surfaces, we place a known pattern beneath the suiface and position the cam era array on top to observe the pattern. By tracking the distorted feature points over time and across cameras, we obtain spatial-temporal correspondence maps and we use them for specular carving to reconstruct the time-varying surface. In case one of the cameras loses track due to dis tortions or blurs, we use the rest of the cameras to construct the suiface and then apply multi-perspective warping to lo cate the lost-track feature points so that we can continue using the camera in later frames. Our experiments on syn thetic and real data demonstrate that our multi-view frame work is robust and reliable.
In a similar vein, Ding et al. REF construct a camera array system to obtain multiview point-pixel correspondences.
Dynamic fluid surface acquisition using a camera array
2011 International Conference on Computer Vision
2011 International Conference on Computer Vision
Computer Science