PPT-Motion Detail Preserving Optical Flow Estimation

Li Xu 1 Jiaya Jia 1 Yasuyuki Matsushita 2 1 The Chinese University of Hong Kong 2 Microsoft Research Asia Conventional Optical Flow Middlebury Benchmark Baker et al 07 Dominant Scheme CoarsetoFine Warping. Fleet Yair Weiss ABSTRACT This chapter provides a tutorial introduction to gradient based optical 64258ow estimation We discuss leastsquares and robust estima tors iterative coarseto64257ne re64257nement di64256erent forms of parametric mo tion mode Shengyang Dai . and. Ying Wu. EECS Department, Northwestern University. NORTHWESTERN. UNIVERSITY. http. ://vision.middlebury.edu/flow. /. Baker, . Scharstein. , Lewis, Roth, Black, Szeliski, . ICCV’07. Yasmina Schoueri, Milena Scaccia, and . Ioannis. . Rekleitis. School of Computer Science, McGill University. Blur. Movements cause blur in resulting image. Blur regarded as undesirable noise. Related Work. Many slides adapted from S. Seitz, R. Szeliski, M. Pollefeys. Motion and perceptual organization. Sometimes, motion is the only cue. Motion and perceptual organization. Sometimes, motion is the only cue. spline. Methods for the Incompressible . Navier. -Stokes Equations. John Andrew Evans. Institute for Computational Engineering and Sciences, UT Austin. Stabilized and . Multiscale. . Methods in CFD. Shengyang Dai . and. Ying Wu. EECS Department, Northwestern University. NORTHWESTERN. UNIVERSITY. http. ://vision.middlebury.edu/flow. /. Baker, . Scharstein. , Lewis, Roth, Black, Szeliski, . ICCV’07. keypoint. tracking. Many slides adapted from S. Seitz, R. Szeliski, M. Pollefeys. Motion is a powerful perceptual cue. Sometimes, it is the only cue. Motion is a powerful perceptual cue. Even “impoverished” motion data can evoke a strong percept. Oisin. Mac . Aodha. . (UCL. ). Gabriel . Brostow. (UCL). Marc . Pollefeys. (ETH). Which algorithm should I (use / download / implement) to track things in . this. video?. Video from Dorothy . Kuipers. Li Xu. 1. , . Jiaya. Jia. 1. , Yasuyuki Matsushita. 2. 1. The Chinese University of Hong Kong . 2. Microsoft Research Asia. Conventional Optical Flow. Middlebury Benchmark [Baker et al. 07]. Dominant Scheme: Coarse-to-Fine Warping. Many slides adapted from S. Seitz, R. Szeliski, M. Pollefeys. Motion and perceptual organization. Sometimes, motion is the only cue. Motion and perceptual organization. Sometimes, motion is the only cue. Qifeng. Chen. Stanford University. Vladlen. . Koltun. Intel Labs. Optical flow. Motion field between two image frames. Optical flow. Motion field between two image frames. Image 1. Image 2. optical flow. Optical flow , A tutorial of the paper: KH Wong Optical Flow v.5a (beta) 1 G. Farneback , “Two-frame Motion Estimation based on Polynomial Expansion”, 13th Scandinavian Conference, SCIA 2003 Halmstad trevor@eecs.berkeley.edu. Lecture 9: Motion. Roadmap. Previous: Image formation, filtering, local features, (Texture)…. Tues: Feature-based Alignment . Stitching images together. Homographies. , RANSAC, Warping, Blending. Computer Vision. Jia-Bin Huang, Virginia Tech. Many slides from D. Hoiem. Administrative Stuffs. HW 1 due 11:55 PM Sept 17. Submission through Canvas. HW 1 Competition: Edge Detection. Submission link.