ロール角推定arXiv:1906.01894
勾配降下法に基づくロバストなロール角推定アルゴリズム
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent
ステレオ画像の視差マップからロール角を推定する際、従来の黄金分割探索を勾配降下法に置き換え、同じ精度をより少ない反復で達成した。
著者: Rui Fan, Lujia Wang, Ming Liu, Ioannis Pitas
分類: cs.RO, cs.CV, eess.IV
原文アブストラクト
This paper presents a robust roll angle estimation algorithm, which is developed from our previously published work, where the roll angle was estimated from a dense disparity map by minimizing a global energy using golden section search algorithm. In this paper, to achieve greater computational efficiency, we utilize gradient descent to optimize the aforementioned global energy. The experimental results illustrate that the proposed roll angle estimation algorithm takes fewer iterations to achieve the same precision as the previous method.
