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. a 12 22 a a mn is an arbitrary matrix Rescaling The simplest types of linear transformations are rescaling maps Consider the map on corresponding to the matrix 2 0 0 3 That is 7 2 0 0 3 00 brPage 2br Shears The next simplest type of linear transfo . November 5, 2012. . Ms. Smith. Mrs. Malone. DO NOW. :. Date. : . November 5, 2012. 6.9C . demonstrate . energy transformations such as how energy in a flashlight battery changes from chemical energy to electrical energy to light energy.. Rishabh. Singh and . Sumit. . Gulwani. FlashFill. Transformations. Syntactic Transformations . Concatenation of regular expression based substring. “VLDB2012” .  “VLDB”. Semantic Transformations. / 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. Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. 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: . 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 . Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. 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) . Presented by Tam Vu. Gayathri. . Chandrasekaran. *, . Tam Vu*, Alexander . Varshavsky. †. , . Marco . Gruteser. *. , Richard . P. . Martin. *. , . Jie. . Yang. ‡. , . Yingying. . Chen. ‡. *WINLAB. Graph: .  . What is the parent function for this graph?. What does the parent function look like?. Shape is a V. Vertex is (0, 0). Slope is 1, opens up. How is the graph above different from the parent function?.