3D Motion from Image Derivatives Using the Least Trimmed Square Regression

机译：使用最小修剪平方回归的图像导数的3D运动

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This paper presents a new technique to the instantaneous 3D motion estimation. The main contributions are as follows. First, we show that the 3D camera or scene velocity can be retrieved from image derivatives only. Second, we propose a new robust algorithm that simultaneously provides the Least Trimmed Square solution and the percentage of inliers- the non-contaminated data. Experiments on both synthetic and real image sequences demonstrated the effectiveness of the developed method. Those experiments show that the developed robust approach can outperform the classical robust scheme.

机译：本文提出了一种即时3D运动估计的新技术。主要贡献如下。首先，我们证明只能从图像导数中检索3D摄像机或场景速度。其次，我们提出了一种新的鲁棒算法，该算法可同时提供最小二乘平方解和非污染数据的百分比。在合成和真实图像序列上的实验证明了该方法的有效性。这些实验表明，所开发的鲁棒方法可以优于经典鲁棒方案。

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来源
《International Workshop on Intelligent Computing in Pattern Analysis/Synthesis(IWICPAS 2006); 20060826-27; Xi'an(CN)》|2006年|P.76-84|共9页
会议地点 Xian(CN)
作者
Fadi Dornaika; Angel D. Sappa;
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作者单位

Computer Vision Center Edifici O, Campus UAB 08193 Bellaterra, Barcelona, Spain;

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原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
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专利

1. Instantaneous 3d Motion From Image Derivatives Using The Least Trimmed Square Regression [J] . Fadi Dornaika, Angel Sappa Pattern recognition letters . 2009,第5期

机译：使用最小整理平方回归的图像导数的瞬时3d运动
2. A robust weighted least squares support vector regression based on least trimmed squares [J] . Chen Chuanfa, Yan Changqing, Li Yanyan Neurocomputing . 2015,第nova30期

机译：基于最小修剪平方的稳健加权最小二乘支持向量回归
3. Comparison of Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) Methods for Protein and Hardness Predictions using the Near-Infrared (NIR) Hyperspectral Images of Bulk Samples of Canadian Wheat [J] . Mahesh S., Jayas D. S., Paliwal J., Food and bioprocess technology . 2015,第1期

机译：使用加拿大小麦散装样品的近红外（NIR）高光谱图像对蛋白质和硬度预测的偏最小二乘回归（PLSR）和主成分回归（PCR）方法进行比较
4. 3D Motion from Image Derivatives Using the Least Trimmed Square Regression [C] . Fadi Dornaika, Angel D. Sappa International Workshop on Intelligent Computing in Pattern Analysis/Synthesis . 2006

机译：3D从图像衍生品的运动使用最小的修剪方形回归
5. Regression quantiles and trimmed least squares estimators for structural equations and nonlinear regression models [D] . Chen, Lin-an. 1988

机译：结构方程和非线性回归模型的回归分位数和修剪的最小二乘估计
6. Mapping Soil Alkalinity and Salinity in Northern Songnen Plain China with the HJ-1 Hyperspectral Imager Data and Partial Least Squares Regression [O] . Lin Bai, Cuizhen Wang, Shuying Zang, 2018

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7. Recovering 3D Shape and Motion from Image Streams using Non-Linear Least Squares [O] . Richard Szeliski, Sing Bing Kang 1993

机译：使用非线性最小二乘法从图像流中恢复3D形状和运动

3D Motion from Image Derivatives Using the Least Trimmed Square Regression

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