PPT-Dense Stereo and Epipolar

Geometry Various slides from previous courses by DA Forsyth Berkeley UIUC I Kokkinos Ecole Centrale UCL S Lazebnik UNC UIUC S Seitz MSR Facebook J Hays Brown Georgia Tech A Berg Stony Brook UNC D Samaras Stony Brook J M . Chapter 11 Stereo Correspondence. Presented by: . 蘇唯誠. 0921679513. r02922114@ntu.edu.tw. 指導教授. : . 傅楸善 博士. Introduction. Stereo matching is the process of taking two or more images and estimating a 3D model of the scene by finding matching pixels in the images and converting their 2D positions into 3D depths.. 23. Kristen . Grauman. UT-Austin. Stereo:. Epipolar. geometry. Announcements. Reminder: . Pset. 3 due next Wed, March 30. Last time. Image formation affected by geometry, photometry, and optics.. Projection equations express how world points mapped to 2d image.. Many slides adapted from Steve Seitz. Binocular stereo. Given a calibrated binocular stereo pair, fuse it to produce a depth image. Where does the depth information come from?. Binocular stereo. Given a calibrated binocular stereo pair, fuse it to produce a depth image. Image Warping. Coordinate transforms. Linear transforms expressed in matrix form. Inverse transforms useful when synthesizing images. Stereo and Depth Estimation (. Sz. 11). cs129: Computational Photography. Topic 3 of Part II. Stereo Vision. CSc. I6716. Spring 2011. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. Stereo Vision. Problem. Infer 3D structure of a scene from two or more images taken from different viewpoints. Many slides drawn from Lana . Lazebnik. , UIUC. Basic stereo matching algorithm. For each pixel in the first image. Find corresponding . epipolar. line in the right image. Examine all pixels on the . Noah . Snavely. , . Zhengqi. Li. Single image stereogram, by . Niklas. . Een. Mark Twain at Pool Table", no date, UCR Museum of Photography. Stereo. Given two images from different viewpoints. How can we compute the depth of each point in the image?. Slides from Steve Seitz, Robert Collins, James Hays. Multiple views. Hartley and Zisserman. Lowe. Multi-view geometry, matching, invariant features, stereo vision. Why multiple views?. Structure and depth are inherently ambiguous from single views.. Linda Shapiro . 1. Müller-Lyer Illusion. http://www.michaelbach.de/ot/sze_muelue/index.html. . What do you know about perspective projection?. Vertical lines?. Other lines?. 2. Image formation. Let. Geometry. Various slides from previous courses by: . D.A. Forsyth (Berkeley / UIUC), I. Kokkinos (. Ecole. Centrale / UCL). S. . Lazebnik. (UNC / UIUC), S. Seitz (MSR / Facebook), J. Hays (Brown / Georgia Tech), A. Berg (Stony Brook / UNC), D. Samaras (Stony Brook) . J. M. . Several slides from Larry . Zitnick. and Steve Seitz. Why do we perceive depth?. What do humans use as depth cues?. Convergence . When watching an object close to us, our eyes point slightly inward. This difference in the direction of the eyes is called convergence. This depth cue is effective only on short distances (less than 10 meters). . 1. 2. Why do we perceive depth?. 3. What do humans use as depth cues?. Convergence . When watching an object close to us, our eyes point slightly inward. This difference in the direction of the eyes is called convergence. This depth cue is effective only on short distances (less than 10 meters). . Grauman. UT-Austin. Stereo:. Epipolar. geometry. Announcements. Reminder: . Pset. 3 due next Wed, March 30. Last time. Image formation affected by geometry, photometry, and optics.. Projection equations express how world points mapped to 2d image.. Several slides from Larry . Zitnick. and Steve Seitz. Why do we perceive depth?. What do humans use as depth cues?. Convergence . When watching an object close to us, our eyes point slightly inward. This difference in the direction of the eyes is called convergence. This depth cue is effective only on short distances (less than 10 meters). .