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Color Optical Flow Estimation Based on Gradient Fields with Extended Constraints

机译:基于梯度字段的彩色光学流量估计,扩展约束

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Traditional optical flow estimations are poor in real applications because premises of the brightness constancy model are not accurate in real environment. An Optical flow estimation technique for color image sequences based on gradient fields with extended constraints model is proposed. This presented technique establishes optical flow equations at gradient fields of color images to weaken optical estimation errors caused by illumination variations. Three groups of experiments show that the proposed algorithm is more accurate and robust than traditional algorithms.
机译:传统的光学流量估计在实际应用中差,因为亮度恒定模型的房屋在真实环境中不准确。提出了一种基于扩展约束模型的梯度场的彩色图像序列的光学流量估计技术。该呈现技术在彩色图像的梯度场中建立光学流程方程,以削弱由照明变化引起的光学估计误差。三组实验表明,该算法比传统算法更准确且坚固。

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