共查询到18条相似文献,搜索用时 46 毫秒
1.
直接用稀疏的光束法平差(SBA)优化张正友单相机标定算法结果会得到多组不同的相机内部参数和畸变参数(统称相机参数)。本文在SBA数学模型的基础之上增加了相机参数相等的约束,建立了一种受约束的稀疏光束法平差(CSBA)模型,提出了一种新的矩阵分块策略,提高了稀疏线性方程组的求解效率。运用模拟实验,验证了CSBA算法在图像特征点像素坐标不具备零均值高斯误差时也能得到唯一的优化相机参数。最后将所提CSBA算法应用于双目立体视觉系统,实测实验结果表明,所提算法能够同时优化立体视觉中的相机内外部参数并提高三维重建结果的精度。 相似文献
2.
3.
研究了无平台信息的视频图像拼接,提出了基于相似性积累与光束法平差的机载视频图像拼接方法.该方法借鉴字符串匹配的基本思想,用基于相似性积累的帧匹配方法解决无平台信息下的帧间优化匹配问题;采用基于光束法平差的空间变换参数估计方法消除序贯拼接所可能产生的累积误差,并消除序贯拼接所可能产生的累积误差,并给出了相应的优化算法.利... 相似文献
4.
5.
6.
针对光束法对初始值依赖性大以及双目相机模型的特点,在ORB-SLAM2算法基础提出了一种三阶段局部双目光束法平差算法。在帧间位姿跟踪阶段,为降低累积误差对匀速模型下3D-2D匹配的影响,引入环形匹配机制进一步剔除误匹配,并将关键帧地图点与当前帧3D-2D投影匹配;在跟踪局部地图阶段插入关键帧时,增加双目相机基距参数优化环节;在局部地图优化阶段,将最近的两关键帧间的普通帧也作为局部帧进行优化。KITTI数据集实验表明,三阶段局部双目光束法平差与ORB-SLAM2相比,构造了更多精确的3D-2D匹配,增加了优化约束条件,提高了运动估计与优化精度。 相似文献
7.
8.
基于PSO和LSSVM回归的摄像机标定 总被引:1,自引:0,他引:1
针对摄像机非线性显式标定时很难精确地建立其复杂的数学模型,本文提出了基于粒子群优化算法(PSO)和最小二乘支持向量机(LSSVM)回归的摄像机非线性隐式标定方法.该方法采用最小二乘回归机精确逼近图像坐标与世界坐标之间复杂的非线性成像关系;利用PSO算法搜索LSSVM回归模型的最优参数,提高LSSVM回归的收敛速度和泛化能力.通过运用标准BP神经网络、遗传算法、LSSVM及粒子群优化的LSSVM回归方法对圆阵列图案标定模板进行标定,实验结果表明:基于PSO和LSSVM回归的标定方法具有标定精度高、收敛速度快、泛化能力强等优点. 相似文献
9.
10.
提出了一种对摄像机进行自标定的方法.该方法是利用自然场景中三组两两正交的平行线所获得的消隐点之间具备的约束条件来实现标定的,并能够对获取的消隐点进行优化校正.利用该方法开展了实验研究,并与采用传统标定方法得到的结果进行了比较,结果表明本文所提出的算法具有较好的应用前景. 相似文献
11.
12.
13.
Yu Zhao 《Journal of Modern Optics》2013,60(18):1529-1537
This paper proposes a method of self-calibration of a binocular vision system based on a one-dimensional (1D) target. This method only needs a 1D target with two feature points and the distance between the two points is unknown. During the process of computation, the distance value can be set an arbitrary value which is near the actual distance value. Using the method proposed in this paper, we can get the parameters of the binocular vision system including internal parameters of the two cameras and the external parameters (but there exists a non-zero scale factor in the translation vector which is connected to the initial distance value we set), the distortion parameters of cameras and the three-dimensional coordinates of the two points in different positions. In this paper, we determine theoretically that the initial distance value will not influence the results, and also the results of numerical simulation and experiment example are shown to demonstrate the method. Most importantly, this method is insensitive to the initial distance value, and it is the biggest advantage. In a practical application, we can use a 1D target with unknown distance to calibrate the binocular system conveniently; also we can use this method to calibrate the camera in a large field of view with a small 1D target. 相似文献
14.
15.
16.
介绍一种新型数码照相机照相物镜的研制过程。其光学系统总长≤55mm,焦距59.9mm,相对孔径1/4.8。此物镜结构简单,后工作距离大。检测证明该物镜成像质量符合设计要求。 相似文献
17.
A current problem in diet recommendation systems is the matching of food
preferences with nutritional requirements, taking into account individual characteristics,
such as body weight with individual health conditions, such as diabetes. Current dietary
recommendations employ association rules, content-based collaborative filtering, and
constraint-based methods, which have several limitations. These limitations are due to the
existence of a special user group and an imbalance of non-simple attributes. Making use
of traditional dietary recommendation algorithm researches, we combine the Adaboost
classifier with probabilistic matrix factorization. We present a personalized diet
recommendation algorithm by taking advantage of probabilistic matrix factorization via
Adaboost. A probabilistic matrix factorization method extracts the implicit factors
between individual food preferences and nutritional characteristics. From this, we can
make use of those features with strong influence while discarding those with little
influence. After incorporating these changes into our approach, we evaluated our
algorithm’s performance. Our results show that our method performed better than others
at matching preferred foods with dietary requirements, benefiting user health as a result.
The algorithm fully considers the constraint relationship between users’ attributes and
nutritional characteristics of foods. Considering many complex factors in our algorithm,
the recommended food result set meets both health standards and users’ dietary
preferences. A comparison of our algorithm with others demonstrated that our method
offers high accuracy and interpretability. 相似文献
18.
Accurate camera calibration is necessary in photogrammetry systems. While traditional calibration methods need precise calibration pattern, this paper introduces a high-accuracy self-calibration method that doesn’t need any metric information of the scene. The proposed method combines epipolar geometry and bundle adjustment, and both intrinsic and extrinsic parameters are obtained. Synthetic data as well as real data have been used to test the method, and the simulation result shows that the mean absolute relative calibration errors of the focal lengths and the principal point are about 4.5e-4 and 8e-4, respectively, under zero-mean Gaussian noise with 0.1 pixels standard deviation. Compared with existing calibration methods, the proposed method is cost-effective and simple with comparable accuracy. 相似文献