PPT-Image transformations and image warping

CS5670 Computer Vision Reading Szeliski Chapter 36 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. 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. / 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. 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++). 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. I can draw glide reflections and other compositions of isometries in the coordinate plane.. If the images to the right describe a composition of transformations, in your own words, define composition of transformations: . 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?. off the grid. Determining Transformations Off The Grid. Is orientation preserved?. No - Reflection. Yes – Rotation, Translation, or Dilation. Is distance preserved?. No - Dilation. Yes – Rotation or Translation. 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. Brandon Barker, Boise State University. Faculty Advisor: Randy Hoover, . Ph.D. Results (cont.). The manifold created from applying projective skew transformations in four different angles:. We continued to produce data to create these manifolds for 8 different individuals from the ORL face database.. 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 . Learning Targets: 8.G.2,8.G.3, 8.G.4. Follow the slides to learn more about transformations. Students should have paper and a pencil for notes at their desk while going through this presentation.. Transformation: a transformation is a change in position, shape or size.. in real life. HW: Maintenance Sheet 3 . (7-8). I can use the properties of translations, rotations, and reflections on line segments, angles, parallel lines or geometric figures. . I can show and explain two figures are congruent using transformations (explaining the series of transformations used) . . 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.. (3, – 2). III. Q. (0, 1). J. (1, 4) & . S. (1, 0). (– 3, – 2). Transformations on the Coordinate Plane. Transformations on the Coordinate Plane. Transformations are movements of geometric figures..