PDF-Epipolar Sampling for Shadows and Crepuscular Rays in

W e reduce the number of ray marching samples for computing the inscattered light by placing them along epipolar lines a nd depth discontinuities center Our sampling strategy i s motivated by the observation that scattering varies mostly smoothly al. Robert . Louisell. , St. Ambrose University. Francis . Kazemek. , St. Cloud State University. Jennifer Wilhelm, University of Kentucky. What is a shadow?. For example, we ask “What is a shadow?”, seeking a . Projection and . Epipolar. Lines. Introduction to Computer Vision. Ronen Basri. Weizmann Institute of Science. Perspectivity. Material covered. Pinhole . camera model, perspective projection. Two . view . 4. apocryphal. catharsis. crepuscular. efficacious. estrange. Internecine. intrinsic. inundate. kudos. maxim. putrid. revere. risible. servile. sybaritic. vacillate. efficacious. Effective; producing the desired outcome. 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.. . Epipolar Plane. – plane containing baseline (1D family). . Epipoles . = intersections of baseline with image planes . = projections of the other camera center. . Baseline. – line connecting the two camera centers. Multi-view geometry problems. Structure: . Given projections of the same 3D point in two or more images, compute the 3D coordinates of that point. Camera 3. R. 3. ,t. 3. Slide credit: Noah . Snavely. Ann-Marie . Raynal. John Kennedy. Juliano. . Beraldo. Christian Freksa. . Shadow as Physical Phenomenon. Any moving matter and waves can create . shadows . (shadows are a lack of signal. ).  . due to blockage. 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. Computational Photography. Fall 2018, Lecture 15. http://graphics.cs.cmu.edu/courses/15-463. Course announcements. Homework 4 is out.. - Due October 26. th. .. - Start early: part 3 (. lightfield. capture) takes a lot of time to get right.. Spring 2018, Lecture 10. http://www.cs.cmu.edu/~16385/. Course announcements. Homework 2 is due on February 23. rd. .. - Any questions about the homework?. - How many of you have looked at/started/finished homework 2?. 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.. Computational Photography. Fall 2018, Lecture 15. http://graphics.cs.cmu.edu/courses/15-463. Course announcements. Homework 4 is out.. - Due October 26. th. .. - Start early: part 3 (. lightfield. capture) takes a lot of time to get right.. 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). .