PPT-Motion from Blur

Shengyang Dai and Ying Wu EECS Department Northwestern University NORTHWESTERN UNIVERSITY http visionmiddleburyeduflow Baker Scharstein Lewis Roth Black Szeliski ICCV07. Lelgard a M Brdif a B Vallet a D Boldo b Universit Paris Est IGN Laboratoire MATIS 73 a venue de Paris 94165 SaintMand France lamanlelegard mathieubredif brunovalletign fr EDF RD Dpartement STEP 6 quai Watier 78401 C hatou France didierboldoedf edusg Chaoqiang Liu Center for Wavelets Approx and Info Proc National University of Singapore Singapore 117542 tslliucqnusedusg Abstract Restoration of a degraded image from motion blurring is highly dependent on the estimation of the blurring kernel ackr Yasuyuki Matsushita Microsoft Research Asia Beijing China yasumatmicrosoftcom Seungyong Lee POSTECH Pohang Korea leesypostechackr Abstract We propose a method for removing nonuniform motion blur from multiple blurry images Traditional methods fo Fig.1.Motionestimationanddeblurringofharmonicrotationusingourapproach.Thispaperaddressestwofundamentalproblemswhenusingthe utteredshutter:1)howtoapplytheFStohandleabroaderclassofmotionsand2)howtoautom Phong Nguyen & Thuan Pham. CSS 552. Overview. Introduction. Problem Statement. Camera. Importance of Motion Blur. Distributed Rays. Post Processing. Introduction. Camera or eye produce visible streaks from fast moving objects. Kokaram. Co-Supervisor: . Dr.. David . Corrigan. Student: Yun . feng. Wang. Deblurring. in . Atomic Force Microscopy (AFM) . images. Project Description. SFI project: collaboration with . Nanoscale. CMSC 435/634. General Approach. Ray Tracing. Shoot more rays. Rasterization. Render more images. 3. Shadows. Are p or q in shadow?. Can they “see” the light?. Ray Traced Shadows. Rays from . p. /. D. e. p. t. h. of . F. ie. l. d. D. e. p. t. h. of . F. ie. l. d. What is Depth of Field?. The distance both in front of and behind the focus point which . appears. . acceptably. focused.. D. e. p. Image . Deblurring. Using Dark Channel Prior. Outline. Motivation. Solutions. Dark . Channel. Model Optimization. Application. Future Work. Reference. Motivation. Recover Blur Image. Photos are taken everyday (mobile phone, digital camera, . Given a set of corresponding points in two or more images, compute the camera parameters and the 3D point coordinates. Camera 1. Camera 2. Camera 3. R. 1. ,t. 1. R. 2. ,t. 2. R. 3. ,t. 3. ?. ?. ?. Slide credit: Noah . Examples:. Pendulum.. Oscillating spring (either horizontal or vertical) without friction.. Point on a wheel when viewed from above in plane of wheel.. Physics Classroom has a good lesson on simple harmonic motion under Waves, vibrations.. Blend Mode. options. Changing a layer’s opacity. Using the . Brush. tool. Using Gaussian blur. Using filter . liquefy. Download. Makeup.jpg. Blemish.png. Open in Photoshop . Switch to . makeup.png. The next found image lives between what is real and a certain future surrealism. I wonder when I click, Do I manipulate the shot later or leave it as is, crop it or turn it into a photo painting, adding new elements, textures, ideas? On the street, the decisive moment emerges only as a focused blur.. Describing motion is occasionally difficult to do with words. Graphs can help simplify this description greatly. Position = Distance from a starting point. Velocity = rate of change in position. Acceleration = rate of change in velocity.