PPT-Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids

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. g Gaussian so only the parameters eg mean and variance need to be estimated Maximum Likelihood Bayesian Estimation Non parametric density estimation Assume NO knowledge about the density Kernel Density Estimation Nearest Neighbor Rule brPage 3br CSC Reservation points have no other relationship with or com parison to vacation points and are established for convenience of reference only Reservation points are per person based on double occupancy and apply to 1 st and 2 nd passenger Ranges shown ENCODER. EEL 6935 Embedded Systems. Long Presentation 2. Group Member: Qin Chen, Xiang Mao. ECE@UFL. 4/2/2010. 1. Outline. Design goals and challenges. Video encoding basics. Memory/cache optimization. . Kwangsoo. Han, Andrew B. Kahng, . Jongpil. Lee, . Jiajia Li. and Siddhartha Nath. VLSI CAD LABORATORY, . UC. San Diego. Outline. Motivation. Related Work. Our Optimization Framework. Experimental Setup and Results. August 2013. 3 Growth Grid Categories. I. nfants . and children < 24 months of age. Children 24 months and older. Pregnant women. Which grids do we show?. Infants and children < 24 months of . age. 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. Silicon Photonic . NoCs. in Many-core Systems. Ayse. K. Coskun. 3. , . Anjun. Gu. 1. , Warren Jin. 4. , Ajay Joshi. 3. , Andrew B. Kahng. 1,2. , . Jonathan Klamkin. 4. , . Yenai. Ma. 3. , John Recchio. Bavineni. . Pushpa. . Lekha. (916-25-5272). Lokesh Dasari (916-33-8052). Bhushan. . Bamane. (916-56-0463). Road Map. INTRODUCTION. MOBILE IP. ROUTE OPTIMIZATION. UPDATING BINDING CACHES. FOREIGN AGENT SMOOTH HANDOFFS. Sinusoidal Modeling . for. . Audio . Signal Processing. Michelle Daniels. PhD Student, University of California, San Diego. Outline. Introduction to sinusoidal . modeling. Existing approach. Proposed optimization post-processing. Content Lessons learnt from P-GRADE portal Lessonslearntfrom accessingproductionGridinfrastructures 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. Application of unstructured/irregular grids inreservoir simulation is one of the mostimportant concepts that have been developedin the past decade 1 Though this conceptwas introduced to the petroleum Parameter estimation, gait synthesis, and experiment design. Sam Burden, Shankar . Sastry. , and Robert Full. Optimization provides unified framework. 2. ?. ?. ?. ?. ?. Blickhan. & Full 1993. Srinivasan. 3 Growth Grid Categories. I. nfants . and children < 24 months of age. Children 24 months and older. Pregnant women. Which grids do we show?. Infants and children < 24 months of . age. Length-for-age.