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We present an algorithm for reconstruction of dynamic scenes from a video input of an asynchronous stereo-pair. Our method presumes that the timestamps of the frame acquisitions and the intrinsic parameters of the stereo cameras are known, as well as, that the extrinsic parameters can be estimated from static regions of the scene. It computes the 3D trajectory of each individual point by modeling...
The Kaczmarz method is widely used in computed tomography applications to iteratively solve large inverse problems for which a direct solution is computationally prohibitive. In this paper, the Kaczmarz method is generalized to handle sparse frequency data collected from sparse, spatially distributed, multistatic sensors. In addition, the developed algorithm provides a mathematical solution to the...
This paper examines two scene recovery problems arising when interpreting data from massive numbers of randomly distributed single pixel cameras. Assuming that the camera positions and orientations are approximately known, the paper shows that both distant and nearby scenes can be reconstructed, and analyzes how recovery performance varies with sensor parameters
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