pose estimation

a novel method of pose and motion estimation based on vision and extended kalman filter

基于视觉和扩展卡尔曼滤波的位姿和运动估计新方法

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this paper presents a novel approach for depth and motion estimation, aiming at the model-based pose estimation problem.

针对基于模型的姿态估计问题提出了一种新颖的深度和运动估计方法。

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the main work of this thesis is summarized as follows: 1. a combined partial symmetry and moment balance method for pose estimation is presented.

论文主要工作及创新点如下：1.提出一种结合局部平面对称和力矩平衡的三维模型姿态估计方法。

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an iterative fusing algorithm for pose estimation based on binocular vision

基于双摄像机的位姿估计迭代融合算法研究

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in multi-robot cooperative localization based on relative measurements, all the measurements obtained by a robot at one moment are fused to update pose estimation and covariance matrix.

在多机器人基于相对观测量的合作定位中，当队列中某个机器人在某时刻获得多个相对观测量时，我们可以融合所有这些观测来更新整个队列的位置及协方差矩阵。

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relative pose estimation of space objects ( including cooperative object and non-cooperative object) is a key technology of space rendezvous and docking.

空间目标（包括合作目标和非合作目标）相对位置和姿态估计是空间交会对接的一项关键技术。

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this paper uses not only the apparent continuity among the video frames, also uses the geometric continuity in the human body pose estimation of video sequence, so as to enhance accuracy and speed.

对视频序列中的人体进行姿态估计时，本文不但利用了视频帧之间的表观连续性，还利用了几何连续性，这样不但能够提高人体姿态估计的准确性还可以提高估计速度。

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pose estimation in static images is a middle level vision problem whose purpose is to detect the body parts such as head, torso, limbs, etc. and output the position and angle parameters of the body parts.

静态图像中的人体姿态估计是指在输入图像中检测人体的各个部位，如头部、躯干、四肢等，并输出这些人体部位的位置和角度等参数的过程。

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camera extrinsic parameters calibration or camera pose estimation can find a variety of applications such as motion analysis, three-dimensional object reconstruction and texture mapping. it is a hot research topic in computer vision as well as virtual reality in recent decades.

相机外参定标在运动分析、三维物体重建、纹理映射等领域有着广泛的应用，这是最近几十年来计算机视觉和虚拟现实的一个研究热点。

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automatically analyzing and understanding human motion and pose estimation has been an important field of computer vision for many years.

对于单目视频中人体运动的自动理解和姿态估计一直是计算机视觉研究的热点问题。

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the traditional algorithms of 3d object tracking, recognition, and pose estimation are based on point features for robotic manipulation and object grasping.

在机器人操作和目标抓取应用中，传统的三维目标跟踪、目标识别和姿态估计等算法是基于点特征实现的。

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the app uses coarse head pose estimation to track the user's face.

这个应用使用粗略头部姿态估计来追踪用户的脸部。

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next, the pose estimation method is introduced in detail including the algorithm theory, the arrangement of feature points and detailed problem-solving processing.

接着，对本文所研究的飞行器姿态估计方法展开详细论述，包括算法的原理、特征点的排列和详细的问题解决过程。

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Of or related to algometry. Experiment for Pose Estimation of Aircraft Model with Computer Vision Technique

痛觉测验计的或与之相关的。计算机视觉技术测量飞机模型位姿试验

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the face detection, pose estimation and orientation of eyes and mouth are integrated in the algorithm and the detection speed is quite fast.

该人脸检测算法集人脸检测、姿态估计和眼、嘴定位于一体，具有检测速度快的特点，适于多姿态多人脸场合的人脸检测。

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head pose estimation is an important research issue in attention test, behavioral detection, and face recognition.

头部姿态估计在注意力检测、行为检测和人脸识别上有着重要的研究意义。

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pose estimation of the aerocraft is a typical pnp problem while the camera is calibrated.

当相机标定时，飞行器位姿求解是一个典型的PNP问题。

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this conclusion is significant for the design and realization of pose estimation system.

这对位姿测量系统的设计与实现具有一定的指导意义。

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face pose estimation based on 3d models and affine correspondences

基于三维模型和仿射对应原理的人脸姿态估计方法

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research efforts in face image processing include face detection, face recognition, face tracking, pose estimation, expression recognition and so on.

人脸图像处理包括人脸检测、人脸识别、人脸跟踪、姿态估计和表情识别等。

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generalized orthogonal iterative algorithm for pose estimation of multiple camera systems

多摄像机系统位姿估计的广义正交迭代算法

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to register multiple range images, we present a method for the pose estimation of multiple viewpoints for three-dimensional digital imaging system based on fringe projection.

为校准多视场深度数据，提出基于条纹投影的三维数字成像系统的多视点姿态估计方法。

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an extended orthogonal iteration algorithm for pose estimation from point and line segment correspondences

基于点和直线段对应的扩展正交迭代位姿估计算法

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at the same time, the nonlinear manifold learning algorithm is applied or improved to solve the problems such as pose estimation and face recognition.

在这个过程中，也采用了非线性流形学习的算法或借鉴其基本思想提出自己的算法，来解决姿态估计、人脸识别等问题。

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the research of head pose estimation is necessary because it is a most important and most basic part of such systems mentioned above.

头部姿态估计作为这些系统的重要和基础环节，对其进行研究是非常必要的。

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face detection, object tracking, pose estimation and face recognition are integrated into one video surveillance system.

将人脸检测和跟踪、姿态估计和人脸识别纳入视频监控系统。

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It introduces some optimization methods in model-based pose estimation.

介绍了基于模型的位姿估计中所使用的一些优化方法.

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unlike those reported geometry pose estimation or landmarks matching methods, this approach requires an image taken by a conventional ccd camera but needs neither artificial landmarks nor an accurate map of an indoor environment.

与已有的几何位姿估计方法或航标匹配方法不同，该方法不需要人工航标，也不需要准确的环境地图，只需一幅由传统的CCD相机拍摄的图像。

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a new adaptive particle filter based camera pose estimation method was implemented.

提出一种基于自适应粒子滤波的摄像机位姿估计方法。

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then, in accordance with the pose estimation plan, the images are preprocessed according to the requirement of pose estimation in computer vision, including noise correcting, image enhancement, object detection and feature extraction.

然后，按照所确定的姿态估计方案，根据视觉姿态估计需要，对获取的图像进行去噪、增强、目标检测以及特征提取等预处理。

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