• To obtain structure and camera motion from an image sequence • Utilize inter-picture dynamics of a sequence – Such as constant speed, acceleration of the camera etc. Part 0 Basic concept of Kalman filter Part 1 Introduction to Kalman filter (KF) and Extended Kalman filters (EKF) Part II Two-pass Kalman filter for structure and pose estimation Description Major reference [Yu, June 2005] Part B Interacting Multiple Model Method (IMM) structure and pose estimation Major reference [Yu Aug.2005] Part C USE Trifocal tensor (TRI-KSFM) structure and pose estimation Major reference [Yu Feb.2005]

计算机科学与技术（参考文献）RF-Dial - Rigid Motion Tracking and Touch Gesture Detection for Interaction via RFID Tags

1.1 The failures of classical physics 1.2 The characteristic of the motion of microscopic particles 1.3 The basic assumptions (postulates) of quantum mechanics 1.4 Solution of free particle in a box – a simple application of Quantum Mechanics

航空航天（PPT课件讲稿）Mechanics——Particle Motion

§8-1 热力学系统 平衡态 §8-2 热力学第零定律(自学) §8-3 理想气体的状态方程 §8-4 理想气体的压强和温度 §8-5 能量按自由度均分定理 §8-6 麦克斯韦气体分子速率分布律 §8-7 玻耳兹曼分布定律 §8-8 分子碰撞与平均自由程

• Define the terms • Define Structure From Motion SFM • Methods for SFM • Define pose estimation, and why we need to study it • Newton's method • Iterative algorithm for pose estimation

4.1 Introduction 4.2 Classification of Cam Mechanisms 4.3 Cam Nomenclature 4.4 Motion events 4.5 Graphical Synthesis of Cam Contour 4.6 Analysis Synthesis of Cam Contour 4.7 Considerations of Cam Mechanisms Synthesis

《固体物理学》课程教学课件（PPT讲稿）Chapter 6 Electron motion in the crystal 6（supplement - a more concise description of quasi-momentum）

《结构动力学》课程教学课件（讲稿）09 Formulation of the MODF equations of motion

《结构动力学》课程教学课件（讲稿）17 Distributed-parameter systems（Partial differential equations of motion）