A Robust Method for Strong Rolling Shutter Effects Correction Using Lines with Automatic Feature Selection

Rolling Shutter Homography and its Applications

“…4) Pre-rectified stitching. One solution to solve the RS stitching problem consists in performing a GS-based image stitching of prerectified images using RS rectification methods are such as [5], [6], [7], [16], [27], [45]. Unfortunately, none of these methods can satisfy both above-mentioned conditions, thus can not be compared in our image stitching experiments.…”

“…After determining the instantaneous-motion parameters by means of the method described in section 5, an inverse mapping is applied to the aligned image points in order to remove RS distortions by compensating camera instantaneous-motion as follows [7]:…”

“…Ignoring the effects of RS in computer vision applications results in performance degradation or even failure [2], [3]. Over the last decade, several works have revisited 3D computer vision by taking RS into account such as RS effects removal [4], [5], [6], [7], absolute pose estimation [2], [8], [9], [10], epipolar geometry [3], [11] and Structure from motion (SfM) [12], [13], [14], [15], [16], [17].…”

Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes

“…To solve RSC problem, Forssen et al [5] model the camera motion as a parametrised continuous curve and solve parameters using non-linear least squares over inter-frame correspondences. Grundmann et al [6], Liu et al [21] and Lao et al [18] address the RSC problem with the help of RANSAC [4]. Rengarajan et al [30] correct the RS distorted image with the aid of straight line assumption.…”

“…Existing works generally treat rolling shutter correction (RSC) and deblurring as two separate issues. As for RSC methods [30,29,47,18,37,20], they assume by default that there are no blur effects in the captured image but only distortion caused by the scanning strategy of RS that exposes each row sequentially. The formation of the image I r with only RS distortion can be described as follows:…”