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Computer Vision panoramas
1.
© 2020 Wael
Badawy 11 Panaramas — Computer Vision — DISCLAIMER: This video is optimized for HD large display using patented and patent-pending “Nile Codec”, the first Egyptian Video Codec for more information, PLEASE check https://NileCodec.com Also available as a PodCast What’s inside your fridge?
2.
© 2020 Wael
Badawy Copyright © 2020 Wael Badawy. All rights reserved This video is subject to copyright owned by Wael Badawy “WB”. Any reproduction or republication of all or part of this video is expressly prohibited unless WB has explicitly granted its prior written consent. All other rights reserved. This video is intended for education and information only and is offered AS IS, without any warranty of the accuracy or the quality of the content. Any other use is strictly prohibited. The viewer is fully responsible to verify the accuracy of the contents received without any claims of costs or liability arising . The names, trademarks service marked as logos of WB or the sponsors appearing in this video may not be used in any any product or service, without prior express written permission from WB and the video sponsors Neither WB nor any party involved in creating, producing or delivering information and material via this video shall be liable for any direction, incidental, consequential, indirect of punitive damages arising out of access to, use or inability to use this content or any errors or omissions in the content thereof. If you will continue to watch this video, you agree to the terms above and other terms that may be available on http://nu.edu.eg & https://caiwave.net 2
3.
© 2020 Wael
Badawy
4.
© 2020 Wael
Badawy Camera projection matrix: recap 0 = (in homogeneous image coordinates)
5.
© 2020 Wael
Badawy Projection matrix translationrotationprojection intrinsics This part converts 3D points in world coordinates to 3D rays in the camera’s coordinate system. There are 6 parameters represented (3 for position/translation, 3 for rotation). The K matrix converts 3D rays in the camera’s coordinate system to 2D image points in image (pixel) coordinates.
6.
© 2020 Wael
Badawy Projection matrix (t in book’s notation) translationrotationprojection intrinsics
7.
© 2020 Wael
Badawy Typical intrinsics matrix 2D affine transform corresponding to a scale by f (focal length) and a translation by (xc, yc) (principal point)
8.
© 2020 Wael
Badawy Projection matrix (t in book’s notation) or
9.
© 2020 Wael
Badawy Projection matrix 0 = (in homogeneous image coordinates)
10.
© 2020 Wael
Badawy Questions?
11.
© 2020 Wael
Badawy Perspective distortion • Problem for architectural photography: converging verticals Source: F. Durand
12.
© 2020 Wael
Badawy Perspective distortion • Problem for architectural photography: converging verticals • Solution: view camera (lens shifted w.r.t. film) Source: F. Durand Tilting the camera upwards results in converging verticals Keeping the camera level, with an ordinary lens, captures only the bottom portion of the building Shifting the lens upwards results in a picture of the entire subject http://en.wikipedia.org/wiki/Perspective_correction_lens (Corresponds to shifting the principal point)
13.
© 2020 Wael
Badawy Perspective distortion • Problem for architectural photography: converging verticals • Result: Source: F. Durand
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© 2020 Wael
Badawy Perspective distortion • What does a sphere project to? Image source: F. Durand
15.
© 2020 Wael
Badawy Perspective distortion • The exterior columns appear bigger • The distortion is not due to lens flaws • Problem pointed out by Da Vinci Slide by F. Durand
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© 2020 Wael
Badawy Perspective distortion: People
17.
© 2020 Wael
Badawy
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© 2020 Wael
Badawy Fredo Durand http://petapixel.com/2013/01/11/how-focal-length-affects-your-subjects-apparent-weight-as-seen-with-a- cat/
19.
© 2020 Wael
Badawy Lens distortion Radial distortion of the image Caused by imperfect lenses Points are distorted along radial lines Deviations are most noticeable for rays that pass through the edge of the lens No distortion Pin cushion Barrel
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© 2020 Wael
Badawy
21.
© 2020 Wael
Badawy Radial distortion
22.
© 2020 Wael
Badawy Radial distortion [Image credit: J. Bouguet http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/example.html] • Arrows show motion of projected points relative to an ideal (distortion-free lens)
23.
© 2020 Wael
Badawy Correcting radial distortion from Helmut Dersch
24.
© 2020 Wael
Badawy Modeling distortion To model lens distortion Use the above conversion of rays to pixels, rather than simply multiplying by the intrinsics matrix Apply radial distortion by approximating with a (low-degree) polynomial Apply focal length & translate image center Project to “normalized” image coordinates
25.
© 2020 Wael
Badawy Other types of projection Lots of intriguing variants… (I’ll just mention a few fun ones)
26.
© 2020 Wael
Badawy 360 degree field of view… Basic approach Take a photo of a parabolic mirror with an orthographic lens (Nayar) Or buy one a lens from a variety of omnicam manufacturers… See http://www.cis.upenn.edu/~kostas/omni.html
27.
© 2020 Wael
Badawy Tilt-shift Titlt-shift images from Olivo Barbieri and Photoshop imitations http://www.northlight-images.co.uk/article_pages/tilt_and_shift_ts-e.html
28.
© 2020 Wael
Badawy Rollout Photographs © Justin Kerr http://research.famsi.org/kerrmaya.html Rotating sensor (or object) Also known as “cyclographs”, “peripheral images”
29.
© 2020 Wael
Badawy Back to panoramas Can we use homographies to create a 360
30.
© 2020 Wael
Badawy Idea: projecting images onto a common plane mosaic projection plane each image is warped with a homography We’ll see what this homography means next Can’t create a 360 panorama this way… we’ll fix this shortly
31.
© 2020 Wael
Badawy Creating a panorama Basic Procedure Take a sequence of images from the same position Rotate the camera about its optical center Compute transformation between second image and first Transform the second image to overlap with the first Blend the two together to create a mosaic If there are more images, repeat
32.
© 2020 Wael
Badawy Geometric Interpretation of Mosaics • If we capture all 360º of rays, we can create a 360º panorama • The basic operation is projecting an image from one plane to another • The projective transformation is scene-INDEPENDENT • This depends on all the images having the same optical center Image 1 Image 2 Optical Center
33.
© 2020 Wael
Badawy Image reprojection Basic question How to relate two images from the same camera center? how to map a pixel from PP1 to PP2 PP2 PP1 Answer • Cast a ray through each pixel in PP1 • Draw the pixel where that ray intersects PP2
34.
© 2020 Wael
Badawy What is the transformation? Image 1 Image 2 Optical Center How do we map points in image 2 into image 1? image 1 image 2 3x3 homography Step 1: Convert pixels in image 2 to rays in camera 2’s coordinate system. Step 2: Convert rays in camera 2’s coordinates to rays in camera 1’s coordinates. Step 3: Convert rays in camera 1’s coordinates to pixels in image 1’s coordinates. intrinsics extrinsics (rotation only)
35.
© 2020 Wael
Badawy Can we use homography to create a 360 panorama?
36.
© 2020 Wael
Badawy Panoramas What if you want a 360 field of view? mosaic Projection Sphere
37.
© 2020 Wael
Badawy Spherical projection Map 3D point (X,Y,Z) onto sphere X Y Z unit sphere unwrapped sphere • Convert to spherical coordinates Spherical image • Convert to spherical image coordinates – s defines size of the final image » often convenient to set s = camera focal length
38.
© 2020 Wael
Badawy Unwrapping a sphere Credit: JHT’s Planetary Pixel Emporium
39.
© 2020 Wael
Badawy f = 200 (pixels) Spherical reprojection Map image to spherical coordinates need to know the focal length input f = 800f = 400
40.
© 2020 Wael
Badawy Aligning spherical images Suppose we rotate the camera by about the vertical axis How does this change the spherical image?
41.
© 2020 Wael
Badawy Aligning spherical images • Suppose we rotate the camera by about the vertical axis – How does this change the spherical image? – Translation by – This means that we can align spherical images by translation
42.
© 2020 Wael
Badawy Assembling the panorama Stitch pairs together, blend, then crop
43.
© 2020 Wael
Badawy Problem: Drift Error accumulation small errors accumulate over time
44.
© 2020 Wael
Badawy Problem: Drift Solution add another copy of first image at the end this gives a constraint: yn = y1 there are a bunch of ways to solve this problem add displacement of (y1 – yn)/(n -1) to each image after the first apply an affine warp: y’ = y + ax [you will implement this for P3] run a big optimization problem, incorporating this constraint best solution, but more complicated (x1,y1) copy of first image (xn,yn)
45.
© 2020 Wael
Badawy Project 3 Take pictures on a tripod (or handheld) Warp to spherical coordinates (optional if using homographies to align images) Extract features Align neighboring pairs using RANSAC Write out list of neighboring translations Correct for drift Read in warped images and blend them Crop the result and import into a viewer Roughly based on Autostitch By Matthew Brown and David Lowe http://www.cs.ubc.ca/~mbrown/autostitch/autostitch.ht ml
46.
© 2020 Wael
Badawy + + + + Microsoft Lobby: http://www.acm.org/pubs/citations/proceedings/graph/258734/p251-szeliski Spherical panoramas
47.
© 2020 Wael
Badawy Different projections are possible Cube-map
48.
© 2020 Wael
Badawy Blending We’ve aligned the images – now what?
49.
© 2020 Wael
Badawy Blending Want to seamlessly blend them together
50.
© 2020 Wael
Badawy Image Blending
51.
© 2020 Wael
Badawy Feathering 0 1 0 1 + =
52.
© 2020 Wael
Badawy Effect of window size 0 1 left right 0 1
53.
© 2020 Wael
Badawy 0 1 0 1 Effect of window size
54.
© 2020 Wael
Badawy Good window size 0 1 “Optimal” window: smooth but not ghosted • Doesn’t always work...
55.
© 2020 Wael
Badawy Pyramid blending Create a Laplacian pyramid, blend each level • Burt, P. J. and Adelson, E. H., A multiresolution spline with applications to image mosaics, ACM Transactions on Graphics, 42(4), October 1983, 217-236.
56.
© 2020 Wael
Badawy Gaussian Pyramid Laplacian Pyramid The Laplacian Pyramid 0G 1G 2G nG - = 0L - = 1L - = 2L nn GL )expand( 1 iii GGL )expand( 1 iii GLG
57.
© 2020 Wael
Badawy Encoding blend weights: I(x,y) = (R, G, B, ) color at p = Implement this in two steps: 1. accumulate: add up the ( premultiplied) RGB values at each pixel 2. normalize: divide each pixel’s accumulated RGB by its value Q: what if = 0? Alpha Blending Optional: see Blinn (CGA, 1994) for details: http://ieeexplore.ieee.org/iel1/38/7531/00310740.pdf?isNumb er=7531&prod=JNL&arnumber=310740&arSt=83&ared=87&a rAuthor=Blinn%2C+J.F. I1 I2 I3 p
58.
© 2020 Wael
Badawy Poisson Image Editing For more info: Perez et al, SIGGRAPH 2003 http://research.microsoft.com/vision/cambridge/papers/perez_siggraph03.pdf
59.
© 2020 Wael
Badawy Some panorama examples “Before SIGGRAPH Deadline” Photo credit: Doug Zongker
60.
© 2020 Wael
Badawy Some panorama examples Every image on Google Streetview
61.
© 2020 Wael
Badawy Magic: ghost removal M. Uyttendaele, A. Eden, and R. Szeliski. Eliminating ghosting and exposure artifacts in image mosaics. In Proceedings of the Interational Conference on Computer Vision and Pattern Recognition, volume 2, pages 509--516, Kauai, Hawaii, December 2001.
62.
© 2020 Wael
Badawy Magic: ghost removal M. Uyttendaele, A. Eden, and R. Szeliski. Eliminating ghosting and exposure artifacts in image mosaics. In Proceedings of the Interational Conference on Computer Vision and Pattern Recognition, volume 2, pages 509--516, Kauai, Hawaii, December 2001.
63.
© 2020 Wael
Badawy Other types of mosaics Can mosaic onto any surface if you know the geometry See NASA’s Visible Earth project for some stunning earth mosaics http://earthobservatory.nasa.gov/Newsroom/BlueMarble/ Click for images…
64.
© 2020 Wael
Badawy http://earthobservatory.nasa.gov/NaturalHazards/ view.php?id=87675&src=twitter-nh
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© 2020 Wael
Badawy Questions?
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