PPT-Image Warping

Morphing Computational Photography Connelly Barnes Wolberg 1996 Recent Advances in Image Morphing Some slides from Fredo Durand Bill Freeman James Hays Morphing Video Women in Art. unisaarlandde httpwwwmiaunisaarlandde Abstract We study an energy functional for computing optical 64258ow that com bines three assumptions a brightness constancy assumption a gradient constancy assumption and a discontinuitypreserving spatiotemporal Dongliang. . Zhang, . Xin. Wang, . Yunsong. Huang, Gerard Schuster. KAUST. Outline. . Conclusions. Motivation. Flatten the common image gathers. Numerical Example. Test . on . Marmousi. model and GOM data. Lecture 8: Warping, Morphing, 3D Transformation. Li Zhang. Spring 2010. Most slides borrowed from . Yungyu Chuang. Last time: Forward . warping. fwarp(I, I’, T). {. for (y=0; y<I.height; y++). CSC320: Introduction to Visual Computing. Michael . Guerzhoy. Many slides borrowed . from . Derek . Hoeim. , Alexei . Efros. Edvard. Munch, “The Scream”. Morphing Examples. http://youtube.com/watch?v=nUDIoN-_Hxs. WU PO-HUNG. Morphing. http://www.youtube.com/watch?v=wZurRt0TidI. Outline. Introduction. Warping. Forward Mapping. Inverse Mapping. Resample. Cross Dissolve. Mesh-Based Warping . Introduction. What is morphing. Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. Transformations. CS5670: Computer Vision. Noah Snavely. Reading. Szeliski: Chapter 3.6. Image alignment. Why don’t these image line up exactly?. What is the geometric relationship between these two images?. Linda Shapiro. CSE 455 . 1. Combine two or more overlapping images to make one larger image. Add example. Slide credit: . Vaibhav Vaish. 2. How to do it?. Basic Procedure. Take a sequence of images from the same position. Linda Shapiro. EE/CSE 576. . 1. Combine two or more overlapping images to make one larger image. Add example. Slide credit: . Vaibhav Vaish. 2. How to do it?. Basic Procedure. Take a . sequence of images . Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. . 16-385 Computer Vision. Spring 2019, . Lecture 7. http://www.cs.cmu.edu/~16385/. Course announcements. Homework 2 is posted on the course website.. - It is due on February 27. th. at 23:59 pm.. - Start early because it is much larger and more difficult than homework 1.. CS5670: Computer Vision. Reading. Szeliski. : Chapter 3.6. Announcements. Project 2 out, due Thursday, March 3 by 8pm. Do be done in groups of 2 – if you need help finding a partner, try Ed Discussions or let us know. Ángel. Bautista. 1,2. , Laura Igual. 1,2. ,. Josep. Moya. 3. , . Verónica. Violant. 2. , . Oriol. Pujol. 1,2. and Sergio Escalera. 1,2. Computer Vision Center (CVC). 1. , University of Barcelona (UB).